Explores censorship resistance in privacy technologies, techniques to avoid Internet censorship, preventing communication, and censorship resistance systems like Tor.
Covers the fundamentals of deep learning, including data representations, bag of words, data pre-processing, artificial neural networks, and convolutional neural networks.
Introduces Lasso regularization and its application to the MNIST dataset, emphasizing feature selection and practical exercises on gradient descent implementation.