E534 2019 BDAA DL Section Intro Unit: DLBasic: Basic Terms Used in Deep Learning
Channel: Digital Science Center Courses
Date: 03/10/2019

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

DLBasic: Basic Terms Used in Deep Learning
Lesson Summary
DLBasic lesson reviews important Deep Learning topics including Activation: (ReLU, Sigmoid, Tanh, Softmax), Loss Function, Optimizer, Stochastic Gradient Descent, Back Propagation, One-hot Vector, Vanishing Gradient, Hyperparameter