Deep Learning with Python (Video 13)

This video tutorial covers the process of converting raw images into a feature matrix and training a Keras model to classify these features. It includes downloading a dataset, using a Python script for feature extraction, training a neural network with Keras, and evaluating the model. The video also provides exercises for further exploration and suggests using pre-trained models for other problems.

What role does dropout play in training neural networks?

How can you evaluate the performance of a trained model on new images?

What are some potential applications of pretraining deep learning models?