Eran Feit

In this video, we'll show you how to use TensorFlow and Mobilenet to train an image classification model through transfer learning. 

We'll guide you through the process of preprocessing image data, fine-tuning a pre-trained Mobilenet model, and evaluating its performance using validation data. 

The link for the video tutorial is here : 

Transfer Learning for Image Classification using Tensorflow | Multi Class Classification Models

In the field of computer vision, fine-tuning image classification involves leveraging transfer learning techniques like TensorFlow Transfer Learning to adapt...

https://youtu.be/xsBm_DTSbB0

I also shared the Python code in the video description.

Enjoy,

Eran

#TensorFlow #Mobilenet #ImageClassification #TransferLearning #Python #DeepLearning #MachineLearning #ArtificialIntelligence #PretrainedModels #ImageRecognition #OpenCV #ComputerVision #Cnn

Welcome to Brain tumor beginner tutorial, where we delve into world of CNNs (Convolutional Neural Networks) and their groundbreaking applications in image classification and brain tumor detection.

This is a simple tutorial convolutional neural network tutorial that demonstrates how to brain tumor in a dataset of images.

We will build and train a model using CNN and see the model accuracy & loss, and then we will test and predict a tumor using new images.

Here is a link to the video: 

Ai Brain Tumor | Brain Tumor Classification using Deep Learning

Welcome to our YouTube channel, where we delve into the fascinating world of CNNs (Convolutional Neural Networks) and their groundbreaking applications in im...

https://youtu.be/-147KGbGI3g

Enjoy

Eran

#cnnforimageclassification #cnnmachinelearningmodel #cnnml #deeplearningbraintumorclassification #aidetectbraintumor

In this tutorial we will learn how to improve low resolution images to a high resolution results. 

We will create a new Conda environment with the relevant Python libraries. Then, we will learn how to improve the quality of your images and videos using real-ESRGAN.

You can find the link for the video tutorial here: 

How to Improve Low Resolution Images and Videos using Real-ESRGAN

Check out the latest real-ESRGAN tutorial for a comprehensive guide on how to use the real-ESRGAN image upscaler to improve image quality and resolution. Add...

https://youtu.be/d-CPvHkltXA

You can find in the video description an instructions file with the setup process, as well.

Enjoy

Eran

#realesrgantutori#al #RealESRGAN #realesrgantutorial #improveimagequality #improveimageresolution #realesrganimageupscaler #realesrganimageupscaler #aiimageupscalerfree #freeaiimageupscaling                 #python #RealESRGAN #increaseimageresolution

Hi,

🎨 Discover how easy it is to transform your own phots into beautiful paintings

🖼️ This is a cool effect based on Stylized Neural Painting library. Simple to use , and the outcome is impressive,

You can find instructions here : 

Python-Code-Cool-Stuff/How to make photos look like paintings at master · feitgemel/Python-Code-Cool-Stuff

Cool stuff using Python and OpenCV. Contribute to feitgemel/Python-Code-Cool-Stuff development by creating an account on GitHub.

https://github.com/feitgemel/Python-Code-Cool-Stuff/tree/master/How%20to%20make%20photos%20look%20like%20paintings

The link for the tutorial video : 

How to make photos look like paintings

Discover how to convert photo into painting using image to painting AI. Turn your photo into painting with photo to painting AI technologyFind out how to tur...

https://youtu.be/m1QhxOWeeRc

Enjoy

Eran

#convertphototodigitalart #makephotolooklikepainting #makephotoslooklikepaintings #makepicturelooklikepainting #convertphotointopainting #howtoturnphotosintopaintings

🚀 in our latest video tutorial, we will cover photo restoration using GFPGAN! Really cool Python library.

The tutorial is divided into 3 parts:

🖼️ Part 1: Setting up a Conda environment for seamless development and Installing essential Python libraries.

🧠 Part 2: Cloning the GitHub repository containing the code and resources.

🚀 Part 3: Apply the model on your own images

You can find the instructions here : 

Python-Code-Cool-Stuff/GFPGAN at master · feitgemel/Python-Code-Cool-Stuff

Cool stuff using Python and OpenCV. Contribute to feitgemel/Python-Code-Cool-Stuff development by creating an account on GitHub.

https://github.com/feitgemel/Python-Code-Cool-Stuff/tree/master/GFPGAN

The link for the video : 

Enhance Your Images with GFPGAN: Low-Resolution Photo Restoration Tutorial 📸

Learn how to improve the quality of low-resolution face images using GFPGAN. We'll explore loading images, applying restoration processes, and fine-tuning pa...

https://youtu.be/nPnQm7HFWJs

Enjoy

Eran

#python #GFPGAN #increaseimageresolution #Enhancephoto

🚀 In this video tutorial, we will generate images using artistic Python library 
Discover the  fascinating realm of Neural Style Transfer and learn how to merge images with your chosen style

Here's what you'll learn:

 🔍 Download a Model from TensorFlow Model Hub: Discover the convenience of using pre-trained models from TensorFlow Model Hub. 

We'll walk you through the steps to grab the perfect model for your artistic endeavors. 

🖼️ Preprocessing Images for Neural Style Transfer: Optimize your images for style transfer success! 

Learn the essential preprocessing steps, from resizing to normalization, ensuring your results are nothing short of spectacular. 

🎭 Applying and Visualizing Style Transfer: Dive into the "style-transfer-quality" GitHub repo. Follow along as we apply neural networks to discriminate between style and generated image features. 

Watch as your images transform with higher quality than ever before .

If you are interested in learning modern Computer Vision course with deep dive with TensorFlow , Keras and Pytorch , you can find it here  : 

Modern Computer Vision GPT, PyTorch, Keras, OpenCV4 in 2024!

Next-Gen Computer Vision: YOLOv8, DINO-GPT4V, OpenCV4, Face Recognition, GenerativeAI, Diffusion Models & Transformers

http://bit.ly/3HeDy1V

Perfect course for every computer vision enthusiastic.

Oreily come up with this book . The best book for learning Deep learning based on Tensorflow-Keras. This is the link: https://amzn.to/3STWZ2N

You can find the code here : 

Python-Code-Cool-Stuff/style-transfer at master · feitgemel/Python-Code-Cool-Stuff

Cool stuff using Python and OpenCV. Contribute to feitgemel/Python-Code-Cool-Stuff development by creating an account on GitHub.

https://github.com/feitgemel/Python-Code-Cool-Stuff/tree/master/style-transfer

The link for the video :  

Neural Style Transfer Tutorial with Tensorflow and Python

Unlock the world of artistic expression with our Neural Style Transfer tutorial using Python, TensorFlow, and open-source tools! 🎨✨In this video, we'll guid...

https://youtu.be/QgEg61WyTe0

Enjoy

Eran

#python #styletransferquality #tensorflow #NeuralStyleTransfer #PythonAI #ArtTech 

Welcome to artificial intelligence and weather image prediction tutorial ! 

In this tutorial, we dive deep into Convolutional Neural Networks (CNNs) using TensorFlow and Keras to categorize weather patterns.

🔍 Key Topics Covered:

🔹 Setting up a CNN model for image classification.

🔹 Utilizing TensorFlow and Keras for efficient deep learning.

🔹 Training the model with a diverse dataset of weather images (rainy, foggy, sunny, and more!).

🔹 Plotting the training outcome, and exploring the results

🔹 Saving the best model for future predictions.

 

I also shared the Python code in the video description.

If you are interested in learning modern Computer Vision course with deep dive with TensorFlow , Keras and Pytorch , you can find it here  : 

Modern Computer Vision GPT, PyTorch, Keras, OpenCV4 in 2024!

Next-Gen Computer Vision: YOLOv8, DINO-GPT4V, OpenCV4, Face Recognition, GenerativeAI, Diffusion Models & Transformers

http://bit.ly/3HeDy1V

Perfect course for every computer vision enthusiastic

Moreover , I recommend this CNN Course book for neural network lovers . follow this link : https://amzn.to/3xKqZY1

The link for the video tutorial is here : 

🌦️ Cnn Tensorflow Image Classification | Weather Image Classification 🌦️

🌦️ Mastering Weather Prediction with TensorFlow and Keras: CNN Tutorial 🤖Welcome to artificial intelligence and weather image prediction! In this tutorial,...

https://youtu.be/gFiISJPCpKs

Enjoy

Eran

#Python #Cnn #TensorFlow #Deeplearning #TensorFlowweatherprediction #KerasCNNtutorial #ConvolutionalNeuralNetworks #Weatherimageclassification #Deeplearningweather

Welcome to our latest Python tutorial, where we dive into the world of image processing! 
In this video, we'll guide you through the process of removing backgrounds from images using Pre-trained model basied on PyTorch : The Rembg library.

🔧 What You'll Learn:

Install the necessary Python libraries for image processing.

Import and manipulate images using the OpenCV .

Use PyTorch as Deeplearning framework with the pre-trained background removal code

Demonstration of the background removal on your images

If you are interested in learning modern Computer Vision course with deep dive with TensorFlow , Keras and Pytorch , you can find it here  : 

Modern Computer Vision GPT, PyTorch, Keras, OpenCV4 in 2024!

Next-Gen Computer Vision: YOLOv8, DINO-GPT4V, OpenCV4, Face Recognition, GenerativeAI, Diffusion Models & Transformers

http://bit.ly/3HeDy1V

Perfect course for every computer vision enthusiastic.

Oreily come up with this book . The best book for learning Deep learning based on Tensorflow-Keras. This is the link: https://amzn.to/3STWZ2N

The link for the tutorial : 

Easy Background Removal tutorial with Python

Welcome to our latest Python tutorial, where we dive into the world of image processing! In this video, we'll guide you through the process of removing backg...

https://youtu.be/dFKRGXdkGJU

Enjoy

Eran

#removeBackground #Python #PyTorch #ImageProcessing #Rembg #Tutorial

🚀 In this video tutorial, we will demonstrate visual style transfer AI and creativity between images 🎨

Learn how to use Neural Style Transfer with Python and TensorFlow, and merge the content of one image with the artistic style of another.

- Set up your Python environment for seamless neural style transfer.

- Explore the concept of convolutional neural networks (CNN) and their role in image styling.

- Learn how to transfer style interpolation, color preservation, and texture transfer among images

- Discover the Neural-style-tf repository for your creative coding journey.

If you are interested in learning modern Computer Vision course with deep dive with TensorFlow , Keras and Pytorch , you can find it here  : 

Modern Computer Vision GPT, PyTorch, Keras, OpenCV4 in 2024!

Next-Gen Computer Vision: YOLOv8, DINO-GPT4V, OpenCV4, Face Recognition, GenerativeAI, Diffusion Models & Transformers

http://bit.ly/3HeDy1V

Perfect course for every computer vision enthusiastic.

Oreily come up with this book . The best book for learning Deep learning based on Tensorflow-Keras. This is the link: https://amzn.to/3STWZ2N

The link for the tutorial : 

🔥 Create Stunning Art: Dive into Neural Style Transfer with Python!

🚀 Transform Your Photos into Works of Art: Neural Style Transfer with Python & TensorFlow! 🎨Unlock the power of artificial intelligence and elevate your cr...

https://youtu.be/ewvjICAaoX4

Enjoy

Eran

#python #neuralstyletransfer  #TensorFlowtutorial  #PythonAIart  #imagesynthesis  #artisticimagetransfer  #convolutionalneuralnetworks  #deeplearningcreativity  #AIimagestyling

Hi,

🌼 In our latest video tutorial, we will dive into image classification using Python and TensorFlow.

Discover how to create a Convolutional Neural Network (CNN) 📊 that can identify various types of flowers 🌻. 

What you'll learn:

• Setting up your Python environment and TensorFlow.
• Organizing your flower dataset for training and validation.
• Data augmentation techniques to improve model performance.
• Constructing a CNN architecture.
• Training the model and monitoring its accuracy and loss.
• Saving and loading your trained model for future use.

If you are interested in learning modern Computer Vision course with deep dive with TensorFlow , Keras and Pytorch , you can find it here  : 

Modern Computer Vision™ PyTorch, Tensorflow2 Keras & OpenCV4

Using Python Learn OpenCV4, CNNs, Detectron2, YOLOv5, GANs, Tracking, Segmentation, Face Recognition & Siamese Networks

http://bit.ly/3HeDy1V

Perfect course for every computer vision enthusiastic

I also shared the Python code in the video description.

Moreover , I recommend this CNN Course book for neural network lovers . follow this link : https://amzn.to/3xKqZY1

The link for the video tutorial is here : 

TensorFlow CNN Tutorial: Flower Classification with Python

In this comprehensive tutorial, you'll embark into the world of deep learning and image classification using Python and TensorFlow. We'll guide you through t...

https://youtu.be/AamKeCTRSKM

Enjoy

Eran

#Python #Cnn #TensorFlow #Deeplearning  #convolutionalneuralnetworks #imageClassification

Hi,

enjoy the magic of 3D image conversion with our tutorial! In just three steps , you'll transform any 2D image into a stunning 3D using the '3d-photo-inpainting' Python library. 

🚀 Step 1: Environment Setup & Library Installation Learn how to create a Conda environment, install PyTorch plus other Python libraries , and download model weights. 
📸 Step 2: Copy your images Select your favorite 2D image and prepare it for the 3D transformation 
✨ Step 3: 3D Transformation & Visualization Learn how how to run the '3d-photo-inpainting' library to bring your image into 3D.

If you are interested in learning modern Computer Vision course with deep dive with TensorFlow , Keras and Pytorch , you can find it here  : 

Modern Computer Vision™ PyTorch, Tensorflow2 Keras & OpenCV4

Using Python Learn OpenCV4, CNNs, Detectron2, YOLOv5, GANs, Tracking, Segmentation, Face Recognition & Siamese Networks

http://bit.ly/3HeDy1V

Perfect course for every computer vision enthusiastic.

Oreily come up with this book . The best book for learning Deep learning based on Tensorflow-Keras. This is the link: https://amzn.to/3STWZ2N

The link for the tutorial : 

3D Photo Magic | Convert Any Picture to 3D with Python

Enjoy the magic of 3D image conversion with our tutorial! In just three steps , you'll transform any 2D image into a stunning 3D using the '3d-photo-inpainti...

https://youtu.be/z66MKkQEuxY

Enjoy

Eran

#3Dimageconversion #2Dto3Dtransformation #3Dphotocreation #Pythonimageconversion #3dphotoinpaintingtutorial #2Dto3Dmagic #Convertingimagesto3D #Create3Dpictures #Python #openCV

Hi,

🌟 Discover how to make your own anime character move and react just like you. 📸

This is a nice and fun Python project to make your anime move like your head using real time live camera.

 

Watch this cool Python tutorial video : 

Your Face, Your Anime: Move Together 💫

This is a nice and fun Python project to make your loved anime move like your head 📷 Using Your Own Images: Learn how to replace the example images with you...

https://youtu.be/5yB8U3G4940

Eran

#Python #anime 

🎥 In our latest video tutorial, we will dive deep into the world of sports image classification! 🏀📸

🔍What's Covered in this Video:

📦Dataset Download: We'll start by obtaining a large sports image dataset from Kaggle, carefully curated with 21 unique sports categories.

🏋️‍♂️Model Building: Using TensorFlow and Keras, we'll dive into the architecture of MobileNet, a pre-trained model. We'll then customize it for our specific classification task.

🖼️Data Preparation: Learn how to preprocess and organize your data into train, validation, and test sets, ensuring your model has a solid foundation to learn from.

🧠Model Training: We'll guide you through the process of training your model, fine-tuning it to achieve impressive accuracy.

📊Model Evaluation: Discover how to assess the performance of your sports image classifier and understand the results.

📸Real-World Predictions: Watch as we make predictions on new sports images, overlaying the predicted class for a real-world demonstration of our model in action.

If you are interested in learning modern Computer Vision course with deep dive with TensorFlow , Keras and Pytorch , you can find it here : [

Modern Computer Vision™ PyTorch, Tensorflow2 Keras & OpenCV4

Using Python Learn OpenCV4, CNNs, Detectron2, YOLOv5, GANs, Tracking, Segmentation, Face Recognition & Siamese Networks

http://bit.ly/3HeDy1V

Modern Computer Vision™ PyTorch, Tensorflow2 Keras & OpenCV4

Using Python Learn OpenCV4, CNNs, Detectron2, YOLOv5, GANs, Tracking, Segmentation, Face Recognition & Siamese Networks

http://bit.ly/3HeDy1V

Perfect course for every computer

actually recommend this book for deep learning based on Tensorflow and Keras : https://amzn.to/3STWZ2N

Check out our tutorial here : 

TensorFlow Sports Image Classification : Building a Custom Model with TensorFlow and Keras

Welcome to our guide on Sports Image Classification using TensorFlow, Keras, and MobileNet! 🏆📸In this tutorial, You'll learn how to build an image classifi...

https://youtu.be/xORACIVRNd4

Enjoy

Eran

#Python #openCV #TensorFlow #Deeplearning #DeepLearningTutorial #mobilenet #ImageClassificationTutorial #Sports Image Classification

🎥 In our latest video tutorial, we will dive deep into the world of sports image classification! 🏀📸

🔍 What's Covered in this Video:

📦 Dataset Download: We'll start by obtaining a large sports image dataset from Kaggle, carefully curated with 21 unique sports categories. 

🏋️‍♂️ Model Building: Using TensorFlow and Keras, we'll dive into the architecture of MobileNet, a pre-trained model. We'll then customize it for our specific classification task. 

🖼️ Data Preparation: Learn how to preprocess and organize your data into train, validation, and test sets, ensuring your model has a solid foundation to learn from. 

🧠 Model Training: We'll guide you through the process of training your model, fine-tuning it to achieve impressive accuracy. 

📊 Model Evaluation: Discover how to assess the performance of your sports image classifier and understand the results. 

📸 Real-World Predictions: Watch as we make predictions on new sports images, overlaying the predicted class for a real-world demonstration of our model in action.

If you are interested in learning modern Computer Vision course with deep dive with TensorFlow , Keras and Pytorch , you can find it here  : 

Modern Computer Vision™ PyTorch, Tensorflow2 Keras & OpenCV4

Using Python Learn OpenCV4, CNNs, Detectron2, YOLOv5, GANs, Tracking, Segmentation, Face Recognition & Siamese Networks

http://bit.ly/3HeDy1V

Perfect course for every computer vision enthusiastic

Actually recommend this book for deep learning based on Tensorflow and Keras : https://amzn.to/3STWZ2N

Check out our tutorial here : 

TensorFlow Sports Image Classification : Building a Custom Model with TensorFlow and Keras

Welcome to our guide on Sports Image Classification using TensorFlow, Keras, and MobileNet! 🏆📸In this tutorial, You'll learn how to build an image classifi...

https://youtu.be/xORACIVRNd4

Enjoy

Eran

#Python #openCV #TensorFlow #Deeplearning #DeepLearningTutorial #mobilenet #ImageClassificationTutorial #SportsImageClassification

Hi,

🍏🥕🍅 In this tutorial, we guide you through the process of building a neural network capable of classifying 36 different fruits and vegetables using TensorFlow and Python. 🎥

📚 Here's what you'll learn: 

🔹 Data Preparation: Explore the dataset and learn how to preprocess and organize your image data effectively. 

🔹 Model Building: Construct a deep neural network with TensorFlow and Keras, layer by layer. 

🔹 Model Training: Witness the training process and fine-tuning for impressive accuracy. 

🔹 Model Evaluation: Assess how well the model performs on new, unseen data. 

🔹 Predictions: Discover the inner workings of the model as it makes predictions on individual images.

If you are interested in learning modern Computer Vision course with deep dive with TensorFlow , Keras and Pytorch , you can find it here  : 

Modern Computer Vision™ PyTorch, Tensorflow2 Keras & OpenCV4

Using Python Learn OpenCV4, CNNs, Detectron2, YOLOv5, GANs, Tracking, Segmentation, Face Recognition & Siamese Networks

http://bit.ly/3HeDy1V

Perfect course for every computer vision enthusiastic

Actually recommend this book for deep learning based on Tensorflow and Keras : https://amzn.to/3STWZ2N

Check out our tutorial here : 

AI Food Recognition : Classifying 36 Fruits and Vegetables in TensorFlow

🍏🍌🥕🍅 Welcome to this deep learning tutorial! In this video, we'll show you how to create a neural network capable of classifying 36 different fruits and ...

https://youtu.be/w5T86Z3lod0

Enjoy

Eran

#Python #openCV #TensorFlow #Deeplearning #DeepLearningTutorial #TensorFlowFruitClassification #PythonNeuralNetwork #AIFoodRecognition #MachineLearningProject #ImageClassificationTutorial #FruitandVegetableClassifier

🎥 Colorizing the Past: Transforming Black and White Movies and Images with DeOldify 🎨

Have you ever wondered what your favorite classic movies would look like in color? In this tutorial, we're learn a simple process of colorization using the powerful DeOldify library. 

🚀 Key Highlights:

• 🌈 Discover the DeOldify library and its capabilities for colorization.
• 🖌️ Learn the installation process and environment setup for smooth colorization.
• 📸 Transform static black and white images into stunning, lifelike visuals.
• 🎬 Dive into video colorization, turning old film footage into colorful masterpieces.

If you are interested in learning modern Computer Vision course with deep dive with TensorFlow , Keras and Pytorch , you can find it here  : 

Modern Computer Vision™ PyTorch, Tensorflow2 Keras & OpenCV4

Using Python Learn OpenCV4, CNNs, Detectron2, YOLOv5, GANs, Tracking, Segmentation, Face Recognition & Siamese Networks

http://bit.ly/3HeDy1V

I actually recommend this book for deep learning based on Tensorflow and Keras : https://amzn.to/3STWZ2N

 

check out our video here: 

How to Add Color to Old Black and White Movies and Images | using DeOldify

🎥 Colorizing the Past: Transforming Black and White Movies and Images with DeOldify 🎨This is a tutorial that elaborates how to colorize old black and white...

https://youtu.be/3sygSmIgGKs

You can find the code in the video description.

Enjoy,

Eran

#Filmcolorization #DeOldify #Colorrestoration #Videocolorization #Pythoncolorization #Classicmovierestoration, #DeOldifyTutorial #Python #Opencv

This is an image Classification tutorial using Python, TensorFlow, and Keras with Convolutional Neural Networks (CNNs). 

In this video, we'll learn how to use pre-trained models to classify images based on Resnet50 and Mobilenet.

1. Introduction to image classification and CNNs.
2. Using TensorFlow and Keras for building the classification process.
3. Loading pre-trained models from the Keras application library (such as ResNet50 and MobileNet).
4. Explaining how to prepare a fresh image for classification, including resizing it to the model's shape and converting it to a batch of images using the Numpy expand_dims function.
5. Running the prediction process on the pre-trained models (ResNet50 and MobileNet) for the given image.
6. Comparing and analyzing the quality of predictions between the two models.

If you are interested in learning modern Computer Vision course with deep dive with TensorFlow , Keras and Pytorch , you can find it here  : 

Modern Computer Vision™ PyTorch, Tensorflow2 Keras & OpenCV4

Using Python Learn OpenCV4, CNNs, Detectron2, YOLOv5, GANs, Tracking, Segmentation, Face Recognition & Siamese Networks

http://bit.ly/3HeDy1V

Perfect course for every computer vision enthusiastic

A recommended book , https://amzn.to/44GnlLW - "Make Your Own Neural Network - An In-depth Visual Introduction For Beginners "

The link for the video : 

TensorFlow Image Classification Tutorial: ResNet50 vs. MobileNet

Welcome to our YouTube tutorial on Image Classification using Python, TensorFlow, and Keras with Convolutional Neural Networks (CNNs). 🎥 What's Covered in t...

https://youtu.be/40_NC2Ahs_8

I also shared the Python code in the video description .

Enjoy

Eran

#Python #TensorFlow #Deeplearning #convolutionalneuralnetwork #mobilenet #Resnet50

🎥 Discover the world of image classification using TensorFlow, Pixellib, and Python in our latest video tutorial! 🌟 

Learn how to train and detect custom images, enhancing your computer vision skills. 📸🔍

In this informative tutorial, we'll explore the process of annotating objects within images, creating accurate labels with dot markings and JSON files. We'll also introduce the ResNet101 model, a powerful pre-trained deep learning architecture, to train our custom images and labels.

If you are interested in learning modern Computer Vision course with deep dive with TensorFlow , Keras and Pytorch , you can find it here  : 

Modern Computer Vision™ PyTorch, Tensorflow2 Keras & OpenCV4

Using Python Learn OpenCV4, CNNs, Detectron2, YOLOv5, GANs, Tracking, Segmentation, Face Recognition & Siamese Networks

http://bit.ly/3HeDy1V

Perfect course for every computer vision enthusiastic

A recommended book , https://amzn.to/44GnlLW - "Make Your Own Neural Network - An In-depth Visual Introduction For Beginners "

Code for this video: 

Object-Detection/Pixellib at main · feitgemel/Object-Detection

Contribute to feitgemel/Object-Detection development by creating an account on GitHub.

https://github.com/feitgemel/Object-Detection/tree/main/Pixellib

The link for the video : 

Image Classification Tutorial: Train and Detect Objects with TensorFlow and Pixellib

Welcome to our comprehensive tutorial on image annotation, training, and object detection using TensorFlow, Pixellib, and ResNet101! In this video, we'll gui...

https://youtu.be/i9MEXrLtFOQ

Enjoy

Eran

#Python #Cnn #TensorFlow #deeplearning #neuralnetworks #pixellib 

Discover how to classify audio chords with our latest YouTube tutorial!

In our latest video tutorial, we will show you how to use a convolutional neural network (CNN) to classify audio chords. 🎧🌈

We will start by examining a few audio files and playing them back. Then, we will code a transform process to convert the audio files to spectrogram images. Spectrogram images are visual representations of sound waves. They can be used to identify different frequencies and amplitudes, which can be used to classify chords.

Next, we will write a CNN model to generate a binary classification between major and minor chords. We will train the model on a dataset of spectrogram images that have been labeled with the correct chord. The model will learn to identify the features of each chord and to classify them accordingly.

Finally, we will test the model on a new set of spectrogram images that have not been labeled. The model will predict the chord for each image and you can compare its predictions to the ground truth labels.

This video is for anyone who is interested in learning how to use deep learning to classify audio chords. It is also a good resource for music producers who want to use machine learning to improve their music.

I hope you enjoy the video!

If you are interested in learning modern Computer Vision course with deep dive with TensorFlow , Keras and Pytorch , you can find it here  : 

Modern Computer Vision™ PyTorch, Tensorflow2 Keras & OpenCV4

Using Python Learn OpenCV4, CNNs, Detectron2, YOLOv5, GANs, Tracking, Segmentation, Face Recognition & Siamese Networks

http://bit.ly/3HeDy1V

Perfect course for every computer vision enthusiastic

actually recommend this book for deep learning based on Tensorflow and Keras : https://amzn.to/3STWZ2N I 

Check out our tutorial here : 

How to Classify Audio Chords with a Convolutional Neural Network 🎹🎵

In this video, I will show you how to use a convolutional neural network (CNN) to classify audio chords.I will start by examining a few audio files and playi...

https://youtu.be/DOOA_kaiHSo

You can find the code for this video here : 

How to Classify Audio Chords with a Convolutional Neural Network - code - Eran Feit's Ko-fi Shop

In this video, I will show you how to use a convolutional neural network (CNN) to classify audio chords.the code is free . however , I will really a...

https://ko-fi.com/s/585fb97174

Enjoy

Eran

#DeepLearning #AudioClassification #SpectrogramAnalysis #MusicAI #audioclassification #computervision #tensorflow

🎥✨ In our latest video tutorial, we will dive into the fascinating world of deepfake lip syncing using the powerful Wav2Lip Python library! 💻👄

In this tutorial, we'll guide you through the step-by-step process of harnessing the Wav2Lip library. From installation to collecting and preparing video and audio files, we'll cover everything you need to know to get started.

Discover how to run the Wav2Lip model effectively, and create your own lip sync videos.

Very cool !

If you are interested in learning modern Computer Vision course with deep dive with TensorFlow, Keras and Pytorch , you can find it here  : 

Modern Computer Vision™ PyTorch, Tensorflow2 Keras & OpenCV4

Using Python Learn OpenCV4, CNNs, Detectron2, YOLOv5, GANs, Tracking, Segmentation, Face Recognition & Siamese Networks

http://bit.ly/3HeDy1V

Perfect course for every computer vision enthusiastic.

Moreover I recommend this book for deep learning based on Tensorflow and Keras : https://amzn.to/3STWZ2N

You can find the video here: 

How to make deep fake lip sync | using Wav2Lip

Wav2Lip is an improved version of LipGAN. It enables to Deepfake an audio whithin a video .Do you want to learn how to make deep fake lip sync using Python a...

https://youtu.be/P4PXI4Cx3hc

Enjoy

Eran

#python #deepfake #wav2lip #DeepfakeLipSyncing #Wav2LipTutorial #LipSyncTutorial