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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| README.md | %!s(int64=10) %!d(string=hai) anos | |
| alexnet.py | %!s(int64=10) %!d(string=hai) anos | |
| basic_operations.py | %!s(int64=10) %!d(string=hai) anos | |
| convolutional_network.py | %!s(int64=10) %!d(string=hai) anos | |
| helloworld.py | %!s(int64=10) %!d(string=hai) anos | |
| input_data.py | %!s(int64=10) %!d(string=hai) anos | |
| linear_regression.py | %!s(int64=10) %!d(string=hai) anos | |
| logistic_regression.py | %!s(int64=10) %!d(string=hai) anos | |
| multilayer_perceptron.py | %!s(int64=10) %!d(string=hai) anos | |
| recurrent_network.py | %!s(int64=10) %!d(string=hai) anos |
Basic code examples for some machine learning algorithms, using TensorFlow library.