Here are some simple tutorial to discover TensorFlow.
Link: https://github.com/aymericdamien/TensorFlow-Examples
This tutorial is designed to easily dive into TensorFlow through examples. Basic calculation examples and famous machine learning algorithms (such as Regression, Nearest Neighbor, Neural Network, Convolutional Neural Network) are implemented, with code explanation.
Tutorial Index:
1 – Introduction
– Hello World
– Basic Operations
2 – Basic Classifiers
– Nearest Neighbor
– Linear Regression
– Logistic Regression
3 – Neural Networks
– Multilayer Perceptron
– Convolutional Neural Network
– AlexNet
– Reccurent Network
4 – Multi GPU
– Basic Operations on multi-GPU
5 – User Interface (Tensorboard)
– Graph Visualization
– Loss Visualization
If you have any question, you can leave a comment or open an issue on github 🙂