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自适应(Adaptive)神经网络源程序
- 自适应(Adaptive)神经网络源程序 The adaptive Neural Network Library is a collection of blocks that implement several Adaptive Neural Networks featuring different adaptation algorithms.~..~ There are 11 blocks that implement basically these 5 kinds of
Adaptive
- The adaptive Neural Network Library is a collection of blocks that implement several Adaptive Neural Networks featuring different adaptation algorithms.~..~ There are 11 blocks that implement basically these 5 kinds of neural networks: 1) A
bb_var
- Extension packages to Bayes Blocks library, part 1
bb_hnfa
- Extension packages to Bayes Blocks library, reported in "Nonlinear independent factor analysis by hierarchical models" (Valpola, Ö stman and Karhunen, 2003). -Extension packages to Bayes Blocks library, reported in
shuma
- 解决人工智能基本问题：八数码问题.通过移动数块到达目标状态，代价最小。-Artificial intelligence to solve the basic problem: the question of the eight digital. By moving a few blocks to reach the target state, the minimum price.
adoptive_nn_code
- 自适应神经网络源程序，制作好的模块，并且有例子-Adaptive neural network source code。There are many blocks, and there are examples
jqr
- JC代码这是一个关于搭积木机器人的的设计代码程序，用于能力风暴-JC Code This is a robot on the building blocks of the design code procedures for the ability to storm
ffc-1.4.tar
- Key Features * Neural network design, training, and simulation * Pattern recognition, clustering, and data-fitting tools * Supervised networks including feedforward, radial basis, LVQ, time delay, nonlinear autoregressive (NARX), and laye
The-adaptive-Neural-Network-
- 基本上实现这些类型的神经网络： 自适应线性网络（ADALINE） 多层多层感知器网络 广义径向基函数网络 动态细胞结构（DCS）网络与高斯或圆锥形的基础功能-There are blocks that implement basically these kinds of neural networks: Adaptive Linear Networks (ADALINE) Multilayer Layer Perceptron Networks Generalized
oucSlidingBlock-master
- 一个用python语言编写的完整的滑动积木块的程序。-A python language complete with sliding building blocks of the program.
keras-master
- 最近一直在用keras，说点个人感受。 1、keras根植于python及theano，人气比较旺。 2、提供较为上层的框架，搞个深度学习的原型非常方便。 3、更新很快，我记得几个月前还没有multi-task的能力，最近再查就提供了graph的对象。 4、最重要的，文档很全。这点超过其它类似的基于theano的框架（Lasagne, Opendeep, Blocks）-Keras is a high-level neural networks library, written
Learning Deep Architectures for AI
- 一本关于深度架构学习算法，尤其是用来构造更深层模型的非监督学习的单层模型。(Theoretical results suggest that in order to learn the kind of com- plicated functions that can represent high-level abstractions (e.g., in vision, language, and other AI-level tasks), one may need deep archite