This tutorial was designed for easily diving into TensorFlow, through examples. For readability, it includes both notebooks and source codes with explanation.
Aymeric Damien
e7138d9f68
Added tutorial index
|
9 years ago | |
|---|---|---|
| README.md | 9 years ago | |
| alexnet.py | 9 years ago | |
| basic_operations.py | 9 years ago | |
| convolutional_network.py | 9 years ago | |
| helloworld.py | 9 years ago | |
| input_data.py | 9 years ago | |
| linear_regression.py | 9 years ago | |
| logistic_regression.py | 9 years ago | |
| multigpu_basics.py | 9 years ago | |
| multilayer_perceptron.py | 9 years ago | |
| nearest_neighbor.py | 9 years ago | |
| recurrent_network.py | 9 years ago |
README.md
TensorFlow Examples
Basic code examples for some machine learning algorithms, using TensorFlow library.
Tutorial index
1 - Introduction
- Hello World (code)
Basic Operations (code)
2 - Basic Classifiers
Nearest Neighbor (code)
Linear Regression (code)
Logistic Regression (code)
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...