Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
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Tensorflow Examples | 42,312 | a year ago | 218 | other | Jupyter Notebook | |||||
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2) | ||||||||||
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100 Days Of Ml Code | 20,187 | a year ago | 9 | mit | Jupyter Notebook | |||||
100-Days-Of-ML-Code中文版 | ||||||||||
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Stanford Tensorflow Tutorials | 10,276 | 3 years ago | 88 | mit | Python | |||||
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research. | ||||||||||
Mit Deep Learning | 9,328 | a year ago | 15 | mit | Jupyter Notebook | |||||
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tensorflow2中文教程，持续更新(当前版本:tensorflow2.0)，tag: tensorflow 2.0 tutorials | ||||||||||
Tensorflow Tutorials | 5,861 | 4 years ago | 17 | Jupyter Notebook | ||||||
Simple tutorials using Google's TensorFlow Framework |
This tutorial was designed for easily diving into TensorFlow, through examples. For readability, it includes both notebooks and source codes with explanation, for both TF v1 & v2.
It is suitable for beginners who want to find clear and concise examples about TensorFlow. Besides the traditional 'raw' TensorFlow implementations, you can also find the latest TensorFlow API practices (such as layers
, estimator
, dataset
, ...).
Update (05/16/2020): Moving all default examples to TF2. For TF v1 examples: check here.
The tutorial index for TF v1 is available here: TensorFlow v1.15 Examples. Or see below for a list of the examples.
Some examples require MNIST dataset for training and testing. Don't worry, this dataset will automatically be downloaded when running examples. MNIST is a database of handwritten digits, for a quick description of that dataset, you can check this notebook.
Official Website: http://yann.lecun.com/exdb/mnist/.
To download all the examples, simply clone this repository:
git clone https://github.com/aymericdamien/TensorFlow-Examples
To run them, you also need the latest version of TensorFlow. To install it:
pip install tensorflow
or (with GPU support):
pip install tensorflow_gpu
For more details about TensorFlow installation, you can check TensorFlow Installation Guide
The tutorial index for TF v1 is available here: TensorFlow v1.15 Examples.
The following examples are coming from TFLearn, a library that provides a simplified interface for TensorFlow. You can have a look, there are many examples and pre-built operations and layers.