TensorFlowTutorials

Introduction to deep learning based on Google's TensorFlow framework. These tutorials are direct ports of Newmu's Theano Tutorials

Topics

Simple Multiplication
Linear Regression
Logistic Regression
Feedforward Neural Network (Multilayer Perceptron)
Deep Feedforward Neural Network (Multilayer Perceptron with 2 Hidden Layers O.o)
Convolutional Neural Network

Dependencies

Name	Name	Last commit message	Last commit date
Latest commit nlintz fixed up readme Nov 10, 2015 fafe958 · Nov 10, 2015 History 4 Commits
.gitignore	.gitignore	wrote tutorials 0 and 1	Nov 10, 2015
0_multiply.py	0_multiply.py	wrote tutorials 0 and 1	Nov 10, 2015
1_linear_regression.py	1_linear_regression.py	wrote tutorials 0 and 1	Nov 10, 2015
2_logistic_regression.py	2_logistic_regression.py	added logistic regression and simple net	Nov 10, 2015
3_net.py	3_net.py	added logistic regression and simple net	Nov 10, 2015
4_modern_net.py	4_modern_net.py	added tutorials for modern_net (mlp) and convolutional_net (cnn duh)	Nov 10, 2015
5_convolutional_net.py	5_convolutional_net.py	added tutorials for modern_net (mlp) and convolutional_net (cnn duh)	Nov 10, 2015
README.md	README.md	fixed up readme	Nov 10, 2015
input_data.py	input_data.py	wrote tutorials 0 and 1	Nov 10, 2015

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