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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Update comments + minor changes
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10 年之前 | |
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| README.md | 10 年之前 | |
| alexnet.py | 10 年之前 | |
| basic_operations.py | 10 年之前 | |
| convolutional_network.py | 10 年之前 | |
| helloworld.py | 10 年之前 | |
| input_data.py | 10 年之前 | |
| linear_regression.py | 10 年之前 | |
| logistic_regression.py | 10 年之前 | |
| multigpu_basics.py | 10 年之前 | |
| multilayer_perceptron.py | 10 年之前 | |
| nearest_neighbor.py | 10 年之前 | |
| recurrent_network.py | 10 年之前 |
README.md
TensorFlow Examples
Basic code examples for some machine learning algorithms, using TensorFlow library.
Tutorial index
1 - Introduction
2 - Basic Classifiers
3 - Neural Networks
- Multilayer Perceptron (code)
- Convolutional Neural Network (code)
- AlexNet (code)
- Reccurent Network (code)
4 - Multi GPU
- Basic Operations on multi-GPU (code)
Dependencies
tensorflow
numpy
matplotlib
cuda (to run examples on GPU)
Other tutorials are coming soon...