Overview
Tensor flow is an open source library initially developed at Google. This corner shows the basic use of tensor-flow with many simple examples in code of solving various math and machine learning problems.
For the official tensor-flow documentation, please see TensorFlow.js API documentation
TensorFlow API
Describes the basics of using the TensorFlow API without reference to any specific mathematical model.
- Basic Library - discussion of the basic operations of the library.
- Memory Management -unlike normal Javascript, memory allocated to tensor-flow must be managed.
Mathematics with TensorFlow API
The TensorFlow API can be used to numerically solve a large range of mathematical problems including fitting a wide range of models.
- Linear Algebra - demonstrates using tensor flow to solve linear algebra problems
- Optimization - shows how to use tensor flow to solve simple optimizations.
- Modeling - discusses various models (including neural networks) that can be created in tensor flow
- Statistics - basic statistics with tensor flow