E534 2019 BDAA DL Section Intro Unit: DLTypes: Types of  Deep Learning: Summaries
Channel: Digital Science Center Courses
Date: 2019-10-03

E534 2019 Big Data Applications and Analytics Introduction to Deep Learning Part I (Unit Intro)
https://docs.google.com/presentation/d/192NZBZNR4VVOIE8GdoJNm01o5AvY9tP1lWCdEA-Qy8Q/edit?usp=sharing

Section Summary
This section covers the growing importance of the use of Deep Learning in Big Data Applications and Analytics. The Intro Unit is an introduction to the technology with examples incidental. It includes an introducton to the laboratory where we use Keras and Tensorflow. The Tech unit covers the deep learning technology in more detail. The Application Units cover deep learning applications at different levels of sophistication.

Intro Unit Summary
This unit is an introduction to deep learning with four major lessons

DLTypes: Types of  Deep Learning: Summaries
Lesson Summary
DLtypes Lesson reviews important Deep Learning neural network architectures including Multilayer Perceptron, CNN Convolutional Neural Network, Dropout for regularization, Max Pooling,  RNN Recurrent Neural Networks, LSTM: Long Short Term Memory, GRU Gated Recurrent Unit, (Variational) Autoencoders, Transformer and Sequence to Sequence methods, GAN Generative Adversarial Network, (D)RL (Deep) Reinforcement Learning,