CS 479/679 W22
29 videos • 17,423 views • by Jeff Orchard
1
Hodgkin-Huxley Neuron Model
Jeff Orchard
Download
2
Simpler Neuron Models
Jeff Orchard
Download
3
Synapses
Jeff Orchard
Download
4
Learning Overview
Jeff Orchard
Download
5
Universal Approximation Theorem
Jeff Orchard
Download
6
Loss Functions
Jeff Orchard
Download
7
Gradient Descent
Jeff Orchard
Download
8
Backpropagation
Jeff Orchard
Download
9
Automatic Differentiation
Jeff Orchard
Download
10
Backprop with AD
Jeff Orchard
Download
11
PyTorch
Jeff Orchard
Download
12
Overfitting
Jeff Orchard
Download
13
Combatting Overfitting
Jeff Orchard
Download
14
Vanishing/Exploding Gradients
Jeff Orchard
Download
15
Enhancing Optimization
Jeff Orchard
Download
16
Autoencoders
Jeff Orchard
Download
17
Your Visual System
Jeff Orchard
Download
18
Convolutional Neural Networks
Jeff Orchard
Download
19
Batch Normalization
Jeff Orchard
Download
20
Hopfield Networks
Jeff Orchard
Download
21
Variational Autoencoders
Jeff Orchard
Download
22
Transformations
Jeff Orchard
Download
23
RNNs and Backprop Through Time
Jeff Orchard
Download
24
Long Short-Term Memory (LSTM)
Jeff Orchard
Download
25
Adversarial Attacks
Jeff Orchard
Download
26
Adversarial Defence
Jeff Orchard
Download
27
Generative Adversarial Networks (GANs)
Jeff Orchard
Download
28
Vector Embeddings
Jeff Orchard
Download
29
Predictive Coding
Jeff Orchard
Download