TensorFlow Tutorial with popular machine learning algorithms implementation. This tutorial was designed for easily diving into TensorFlow, through examples.
It is suitable for beginners who want to find clear and concise examples about TensorFlow. For readability, the tutorial includes both notebook and code with explanations.
Note: If you are using older TensorFlow version (before 0.12), please have a look here
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, for a quick description of that dataset, you can check this notebook.
Official Website: http://yann.lecun.com/exdb/mnist/
tensorflow 1.0alpha numpy matplotlib cuda tflearn (if using tflearn examples)
For more details about TensorFlow installation, you can check TensorFlow Installation Guide