TensorFlow CNN Tutorial: Flower Classification with Python 🌷

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