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Lecture 3: Deep Learning I

Lecture 3: Deep Learning I

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Lecture 3: Deep Learning I
Review: Perceptron
Neural Networks
Multi-layer Perceptron
Matrix Notation
K-way Classification
Softmax
More Complicated Neural Networks
Multiple Hidden Layers
Training
Binary Classification
Multiclass
Training Algorithm
Convolutional Neural Networks
Motivation
Convolution Layers
Convolutional Neural Networks
Training a CNN
CNN Architectures: AlexNet
Sequence Models
Tasks We Can Handle with NNs
Simple RNNs
LSTMs
Transformers
Training Tricks
Data Augmentation