Cnn Tensorflow Image Classification | Weather Image Classification 🌦️

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