Recurrent Neural Networks Tutorial (RNN)

Hinton 2006年的数据降维的方法

Convolutional Neural Networks are very similar to ordinary Neural Networks from the previous chapter

MIT 学习神经网络经典书籍 Like the first edition, which it replaces, this volume is inspired by two great quest

Reducing the Dimensionality of Data with Neural Networks

This book covers both classical and modern models in deep learning. The primary focus is on the theo

Neural Networks for Machine Learning字幕

LearnKerasforDeepNeuralNetworks深度学习书，使用keras

神经网络至今所有的经典tricks设计集合，对于想搞深度学习却不得入门的同学，好好看看这本书

深度神经网络（DNN）的条件计算通过运行网络的子集来减少总体计算负荷并提高模型准确性。在这项工作中，我们提出了一个运行时可调节的神经网络（TNN），它可以自适应地自我调节其自身的性能目标和计算资源。.

可直接运行得到代码