This tutorial was designed for easily diving into TensorFlow, through examples. For readability, it includes both notebooks and source codes with explanation.

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aymericdamien 104c4de9f3 added testing as requested by issue #2		9 年之前
examples	104c4de9f3 added testing as requested by issue #2	9 年之前
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README.md	21e2454f8a minor fix	9 年之前
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input_data.py	908f7cc24c added mnist data script	9 年之前
multigpu_basics.py	530dc64989 added basic operations with multi GPU	9 年之前

TensorFlow Examples

Code examples for some popular machine learning algorithms, using TensorFlow library. This tutorial is designed to easily dive into TensorFlow, through examples. It includes both notebook and code with explanations.

Tutorial index

1 - Introduction

Hello World (notebook) (code)
Basic Operations (notebook) (code)

2 - Basic Classifiers

Nearest Neighbor (notebook) (code)
Linear Regression (notebook) (code)
Logistic Regression (notebook) (code)

3 - Neural Networks

Multilayer Perceptron (notebook) (code)
Convolutional Neural Network (notebook) (code)
AlexNet (notebook) (code)
Reccurent Network (code)

4 - Multi GPU

Basic Operations on multi-GPU (notebook) (code)

5 - User Interface (Tensorboard)

Graph Visualization (notebook) (code)
Loss Visualization (notebook) (code)

Dependencies

tensorflow
numpy
matplotlib
cuda (to run examples on GPU)

For more details about TensorFlow installation, you can check Setup_TensorFlow.md

Dataset

Some examples require MNIST dataset for training and testing. Don't worry, this dataset will automatically be downloaded when running examples (with input_data.py). MNIST is a database of handwritten digits, with 60,000 examples for training and 10,000 examples for testing. (Website: http://yann.lecun.com/exdb/mnist/)

Other tutorials are coming soon....

README.md