sigmoid tanh tanh函数定义如下: 激活函数形状: ReLU 大家族 ReLU softmax 函数 softmax是一个函数,其主要用于输出节点的分类,它有一个特点,所以的值相加会等于1. 具体例子,可以举图像识别,比如图像识别数字,0~9, 线设置图像识别的输出数字为10个输出节点,然后通过softmax算法,算出对于一张图像的输入,其经过神经网络的计算,会输出10个值,那当前输出的值就是0~9的可能性,但是总和是1.那个数字的输出的概率最大,则这次手写数字的识别结果就是那个数…

课程主页:http://cs231n.stanford.edu/   Introduction to neural networks -Training Neural Network ______________________________________________________________________________________________________________________________________________________________…

目录 概 主要内容 初始化策略 其它的好处 Sitzmann V., Martel J. N. P., Bergman A. W., Lindell D. B., Wetzstein G. Implicit neural representations with periodic activation functions. Advances in Neural Information Processing Systems (NIPS), 2020. 概 本文提出用\(\sin\)作为激活函数,…

Sigmoid Sigmoids saturate and kill gradients. Sigmoid outputs are not zero-centered. Exponential function is a little computational expensive. Tanh Kill gradients when saturated. It's zero-centered! : ) ReLU Does not saturate. ( in positive region) V…

1. Sigmoid Function: when z=0,g'(z)=0.25 2. tanh Function: when x=0,tanh'(x)=1 3. Relu…

https://machinelearningmastery.com/grid-search-hyperparameters-deep-learning-models-python-keras/ Overview In this post I want to show you both how you can use the scikit-learn grid search capability and give you a suite of examples that you can copy…

Hyperparameter optimization is a big part of deep learning. The reason is that neural networks are notoriously difficult to configure and there are a lot of parameters that need to be set. On top of that, individual models can be very slow to train.…

http://blog.csdn.net/dinosoft/article/details/51813615 前言 对于深度学习,新手我推荐先看UFLDL,不做assignment的话,一两个晚上就可以看完.毕竟卷积.池化啥的并不是什么特别玄的东西.课程简明扼要,一针见血,把最基础.最重要的点都点出来 了. cs231n这个是一个完整的课程,内容就多了点,虽然说课程是computer vision的,但80%还是深度学习的内容.图像的工作暂时用不上,我就先略过了. 突然发现这两个课程都是斯坦福的…

https://adeshpande3.github.io/adeshpande3.github.io/ https://blog.csdn.net/weiwei9363/article/details/79112872 https://blog.csdn.net/and_w/article/details/70336506 https://hackernoon.com/visualizing-parts-of-convolutional-neural-networks-using-keras-…

Learning Deep Learning with Keras Piotr Migdał - blog Projects Articles Publications Resume About Photos Learning Deep Learning with Keras 30 Apr 2017 • Piotr Migdał • [machine-learning] [deep-learning] [overview] I teach deep learning both for a liv…