Deep Learning with Python (Video 4)

This video tutorial introduces deep learning using the MNIST dataset of handwritten digits. It covers setting up the environment with Anaconda, Theano, and Keras, and demonstrates loading and preparing the dataset. The tutorial defines a convolutional neural network model, compiles it, and trains it using Keras. The model achieves high accuracy on the test set. The session concludes with a brief overview of the topics covered and hints at future discussions on backpropagation and Theano.

What new insight or understanding did you gain from this video?

Evaluate responses using AI:

OFF