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Learn Deep Learning
About this Course
Why Learn Deep Learning?
Overview of the Course
Neural Networks
Linear Classifiers
Optimization and Gradient Descent
Neural Networks
Backpropagation Algorithm
Build a Neural Network With Pytorch
Quiz Yourself on Neural Networks
Training Neural Networks
Optimization
Popular Optimization Algorithms
Activation Functions
Training in Pytorch
Quiz Yourself on Training Neural Networks
Convolutional Neural Networks
The Principles of the Convolution
Convolution in Practice
Build a Convolutional Network
Batch Normalization and Dropout
Skip Connections
CNN Architectures
Quiz Yourself on CNNs
Recurrent Neural Networks
A Simple RNN Cell
LSTM: Long Short Term Memory Cells
Writing a Custom LSTM Cell in Pytorch
Connect LSTM Cells Across Time and Space
Quiz Yourself on RNNs
Autoencoders
Generative Learning
Basics of Autoencoders
Variational Autoencoder: Theory
Variational Autoencoder: Practice
Quiz Yourself on Autoencoders
Generative Adversarial Networks
Generator and Discriminator
Generative Adversarial Networks in Detail
Develop a GAN with Pytorch
Quiz Yourself on GANs
Attention and Transformers
Sequence to Sequence Models
Attention
Key Concepts of Transformers
Self-Attention
Multi-Head Self-Attention
Transformers Building Blocks
The Transformer's Encoder
The Transformer's Decoder
Build a Transformer Encoder
Quiz Yourself on Transformers
Graph Neural Networks
Basics of Graphs
Mathematics for Graphs
Graph Convolutional Networks
Implementation of a GCN
Quiz Yourself on GNNs
Conclusion
Where to go from here?
Appendix
Course Assessment
Final Quiz
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Introduction to Deep Learning & Neural Networks
Quiz Yourself on RNNs
Answer some questions on Recurrent Neural Networks and LSTMS.
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