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 : 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 : https://youtu.be/gFiISJPCpKs&list=UULFTiWJJhaH6BviSWKLJUM9sg
You can find the code and instructions in this link : https://ko-fi.com/s/efaafe52c5
Enjoy
Eran