Thomas Epelbaum's repositories
Technical_Book_DL
This note presents in a technical though hopefully pedagogical way the three most common forms of neural network architectures: Feedforward, Convolutional and Recurrent.
CUDA-CS344
My solutions to Udacity's Parallel Programming course (CS 344)
What_is_Deep_Learning
A short note to explain what is deep learning
courses
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
cq-formation-advanced-python
Advanced and Parallel Python workshop material
datasharing
The Leek group guide to data sharing
DeepLearningTutorials
Deep Learning Tutorial notes and code. See the wiki for more info.
ExData_Plotting1
Plotting Assignment 1 for Exploratory Data Analysis
NN_Feed_Forward_Simplest
First C implementation of a Feed Forward Neural Network
ProgrammingAssignment2
Repository for Programming Assignment 2 for R Programming on Coursera
RepData_PeerAssessment1
Peer Assessment 1 for Reproducible Research