tensorlayer | Deep Learning and Reinforcement Learning Library | Machine Learning library

The TensorLayer user guide explains how to install TensorFlow, CUDA and cuDNN,
how to build and train neural networks using TensorLayer, and how to contribute
to the library as a developer.

.. toctree::
  :maxdepth: 2

  user/installation
  user/exa  

Customizes activation function in TensorLayer is very easy.
The following example implements an activation that multiplies its input by 2.
For more complex activation, TensorFlow API will be required.

.. code-block:: python

  def double_activation(  

class_names = '''tench, Tinca tinca
goldfish, Carassius auratus
great white shark, white shark, man-eater, man-eating shark, Carcharodon carcharias
tiger shark, Galeocerdo cuvieri
hammerhead, hammerhead shark
electric ray, crampfish, numbfish, torped  

#! /usr/bin/python
# -*- coding: utf-8 -*-
"""Example of training an Inception V3 model with ImageNet.

The parameters are set as in the best results of the paper: https://arxiv.org/abs/1512.00567

The dataset can be downloaded from http://www.image-  

"""
DQN and its variants
------------------------
We implement Double DQN, Dueling DQN and Noisy DQN here.
The max operator in standard DQN uses the same values both to select and to
evaluate an action by
Q(s_t, a_t) = R_{t+1} + \gamma * max_{a