Comp541 Deep Learning lecture videos on YouTube

The whole playlist.
Guest lecture by Alan Edelman: Why Julia?
Introduction to Neural Networks
Introduction to Julia
Backpropagation
Softmax Classification
Multi Layer Perceptrons
Convolutional Networks I
Convolutional Networks II
Convolutional Networks III
Recurrent Networks I
Recurrent Networks II
Methodology
Visualization
Optimization
Generalization
Generative Models
Reinforcement Learning: Intro
RL: Markov Decision Processes
RL: Dynamic Programming
RL: Model-free Methods
RL: Value Function Approximation and Policy Gradient Methods