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)

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What_is_Deep_Learning

A short note to explain what is deep learning

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courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

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cq-formation-advanced-python

Advanced and Parallel Python workshop material

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datasharing

The Leek group guide to data sharing

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DeepLearningTutorials

Deep Learning Tutorial notes and code. See the wiki for more info.

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ExData_Plotting1

Plotting Assignment 1 for Exploratory Data Analysis

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NN_Feed_Forward_Simplest

First C implementation of a Feed Forward Neural Network

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ProgrammingAssignment2

Repository for Programming Assignment 2 for R Programming on Coursera

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RepData_PeerAssessment1

Peer Assessment 1 for Reproducible Research

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