Skip to content

Learning the basics of deep learning and neural networks

Notifications You must be signed in to change notification settings

LabNotForProfit/Deep-Learning

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

12 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

DS 3: Neural Networks & Deep Learning

Course Schedule

Course Dates: Thursday, April 26 – Thursday, May 30, 2018 (6 weeks)

Class Times: Tuesday, Thursday 2–4pm (11 class sessions)

Class Date Topics
1 Thursday, April 26 Perceptrons
2 Tuesday, May 1 Activation Functions
3 Thursday, May 3 Perceptron Training
4 Tuesday, May 8 Multilayer Perceptrons
5 Thursday, May 10 Training Problems & Solutions
6 Tuesday, May 15 End-to-End Data Science Process
7 Thursday, May 17 Deep Neural Networks Architecture
8 Tuesday, May 22 Convolutional Neural Networks
9 Thursday, May 24 Independent Project Guidance
10 Tuesday, May 29 TensorFlow
11 Thursday, May 31 Independent Project Presentations

Repository Setup Instructions

Please follow these instructions exactly to set up your fork of this repository.

About

Learning the basics of deep learning and neural networks

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Jupyter Notebook 100.0%