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Motivation and Applications
Introduction to Machine Learning
- AI vs ML vs DL vs Data Science
- What is Machine Learning?
Introduction - Neural Networks
Convolution Neural Networks
- CNN Introduction
- CNN Architectures
Word Embeddings
Recurrent Neural Networks
- RNN Intro
- LSTM Intro
Autoencoders
- Introduction to Autoencoders
Reinfocement Learning
- Introduction to RL
Generative Adversarial Networks
Meta-Learning

Motivation and Applications

Deep Learning Applications -1 (Optional, feel free to skip this.)

Deep Learning Applications -2 (Optional, feel free to skip this.)

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