1.Python tutorial 2.45-80.2.Tutorial on basic linear algebra focusing on matrices, eigenvalues, andeigenvectors 3.Tutorial on calculus in several variables with emphasize on gradients 卡耐基梅隆大学(Carnegie Mellon University ),是一所拥有 13,600 名在校学生和 1,423 名教职及科研人员的世界著名的研究型...
import numpy as np def sigmoid(x): return 1.0/(1.0 + np.exp(-x)) def sigmoid_prime(x): return sigmoid(x)*(1.0-sigmoid(x)) def tanh(x): return np.tanh(x) def tanh_prime(x): return 1.0 - x**2 class NeuralNetwork: def __init__(self, layers, activation='tanh'): if ...
本文翻译自RECURRENT NEURAL NETWORKS TUTORIAL, PART 2 – IMPLEMENTING A RNN WITH PYTHON, NUMPY AND THEANO。 github地址 在这篇博文中,我们将会使用Python从头开始实现一个循环神经网络,并且利用Theano(一个在GPU上执行操作的库)优化原始的实现。所有的代码可以在github上获得。我将会跳过一些不影响理解循环神经网络...
This conceptual CNN tutorial will start by providing an overview of what CNNs are and their importance in machine learning. Then it will walk you through a step-by-step implementation of CNN in TensorFlow Framework 2. What is a CNN? A Convolutional Neural Network (CNN or ConvNet) is a de...
In this simple neural network Python tutorial, we’ll employ the Sigmoid activation function. There are several types of neural networks. In this project, we are going to create the feed-forward or perception neural networks. This type of ANN relays data directly from the front to the back....
Deep Learning and Convolutional Neural Networks(http://medium.com/@ageitgey) Conv Nets: A Modular Perspective (http://colah.github.io) Understanding Convolutions (http://colah.github.io) 递归神经网络 Recurrent Neural Networks Tutorial (http://wildml.com) ...
If you'd like to use Tensorflow, no worries, I made a new Tensorflow Tutorial just like PyTorch. Here is the link: https://github.com/MorvanZhou/Tensorflow-Tutorial pyTorch Tutorials In these tutorials for pyTorch, we will build our first Neural Network and try to build some advanced Neural...
Introduction to Neural Network Tutorial Introduction: What are Neural Networks? Neural Networks are a form of computing which has its beginnings in the 40s, when people started thinking human brain as a computer. One of them was Alan Turing, one of the most famous computer scientist and ...
Simple Linear Regression Tutorial for Machine Learning(machinelearningmastery.com) Logistic Regression Tutorial for Machine Learning(machinelearningmastery.com) Softmax Regression (ufldl.stanford.edu) 梯度下降算法 Learning with gradient descent (neuralnetworksanddeeplearning.com) ...
Machine Learning Tutorial forBeginners (kaggle.com/kanncaa1) https://www.kaggle.com/kanncaa1/machine-learning-tutorial-for-beginners 1.1 激活函数与损失函数 Sigmoidneurons (neuralnetworksanddeeplearning.com) http://neuralnetworksanddeeplearning.com/chap1.html#sigmoid_neurons ...