Transfer Learn in Weather Images

Learn how to classify weather images using transfer learning in this Python tutorial. Explore the process of leveraging a pre-trained VGG19 model with TensorFlow and Keras to tackle image classification. Follow along as the instructor guides you through installing necessary libraries, downloading and preparing the dataset, implementing the transfer learning process, and testing the model on new images. Gain practical experience in convolutional neural networks and discover how to accelerate training using transfer learning techniques. By the end of this tutorial, you'll have the skills to apply transfer learning to your own image classification projects.

Intro
Installation - Python libraries
Download the dataset and prepare the folders
Coding the Transfer learning process based on Vgg19 model
Test the model - Predict a new image