Transfer Learning Using Keras

Learn transfer learning techniques using Keras in this 25-minute Python tutorial. Explore how to classify and predict objects in training images by leveraging the pre-trained Resnet50 convolutional neural network. Configure the model to classify car brands using TensorFlow and Keras. Follow along with step-by-step instructions, from installing necessary Python libraries to downloading the car image dataset, configuring the Resnet50 model, training the network, and predicting classes in new images. Gain practical insights into transfer learning applications and enhance your deep learning skills with this hands-on tutorial.

Intro
Installation - Python libraries
Download the cars images dataset
Configure the Resnet50 model and run the training
Predict classes in images
Show the images with the prediction