1.BP neural network optimized by PSO algorithm on Ammunition storage reliability prediction 文献简介文献来源:https://ieeexplore.ieee.org/document/8242856 文献级别:EI检索 摘要:Storage reliability of the ammunition dominates the efforts in achieving the mission reliab…
1. Feedforward and cost function; 2.Regularized cost function: 3.Sigmoid gradient The gradient for the sigmoid function can be computed as: where: 4.Random initialization randInitializeWeights.m function W = randInitializeWeights(L_in, L_out) %RANDIN…
论文地址:一种新的基于循环神经网络的远场语音通信实时噪声抑制算法 引用格式:Chen B, Zhou Y, Ma Y, et al. A New Real-Time Noise Suppression Algorithm for Far-Field Speech Communication Based on Recurrent Neural Network[C]//2021 IEEE International Conference on Signal Processing, Communica…
catalogue . 引言 . Neural Networks Transform Space - 神经网络内部的空间结构 . Understand the data itself by visualizing high-dimensional input dataset - 输入样本内隐含的空间结构 . Example : Word Embeddings in NLP - text word文本词语串内隐含的空间结构 . Example : Paragraph Vectors in NLP…
Convolutional Neural Networks are great: they recognize things, places and people in your personal photos, signs, people and lights in self-driving cars, crops, forests and traffic in aerial imagery, various anomalies in medical images and all kinds…
A Neural Network in 11 lines of Python A bare bones neural network implementation to describe the inner workings of backpropagation. Posted by iamtrask on July 12, 2015 Summary: I learn best with toy code that I can play with. This tutorial teaches b…
整理自Andrew Ng的machine learning课程week6. 目录: Advice for applying machine learning (Decide what to do next) Debugging a learning algorithm machine learning diagnostic Evaluating a hypothesis Model selection and Train / validation / test set Bias and Vari…
Modern neuroscientists often discuss the brain as a type of computer. Neural networks aim to do the opposite: build a computer that functions like a brain. Of course, we only have a cursory understanding of the brain’s complex functions, but by creat…
How Transformers Work --- The Neural Network used by Open AI and DeepMind Original English Version link:https://towardsdatascience.com/transformers-141e32e69591 Chinese version by 量子位. 本文的主要内容:RNN, LSTM, Attention, CNN, Transformer, Self-Attention, M…
0. Overview What is language models? A time series prediction problem. It assigns a probility to a sequence of words,and the total prob of all the sequence equal one. Many Natural Language Processing can be structured as (conditional) language modell…
Logistic Regression with a Neural Network mindset You will learn to: Build the general architecture of a learning algorithm, including: Initializing parameters(初始化参数) Calculating the cost function and its gradient(计算代价函数,和他的梯度) Using an optimization…
深度学习课程笔记(十五)Recurrent Neural Network 2018-08-07 18:55:12 This video tutorial can be found from: Youtube Issue: 传统方法中,当你的训练数据中,没有那么丰富的 training data,那么可能会导致部分数据的预测为 0,如上图所示.为了不让它变成 0,所以,我们给它一个非常小的 value,如:0.0001.但是这种给定的低概率的 value,是相当不准确的. 所以,我们想能否有一种…
Recurrent Neural Network 2016年07月01日 Deep learning Deep learning 字数:24235 this blog from: http://jxgu.cc/blog/recent-advances-in-RNN.html References Robert Dionne Neural Network Paper Notes Baisc Improvements 20170326 Learning Simpler Language…
Principles of training multi-layer neural network using backpropagation http://galaxy.agh.edu.pl/~vlsi/AI/backp_t_en/backprop.html The project describes teaching process of multi-layer neural network employing backpropagation algorithm. To illustrate…
Deep Neural Network - Application Congratulations! Welcome to the fourth programming exercise of the deep learning specialization. You will now use everything you have learned to build a deep neural network that classifies cat vs. non-cat images. In…
Logistic Regression with a Neural Network mindset Welcome to the first (required) programming exercise of the deep learning specialization. In this notebook you will build your first image recognition algorithm. You will build a cat classifier that r…
1. Build a logistic regression model, structured as a shallow neural network2. Implement the main steps of an ML algorithm, including making predictions, derivative computation, and gradient descent.3. Implement computationally efficient, highly vect…
Convolutional Neural Network Overview A Convolutional Neural Network (CNN) is comprised of one or more convolutional layers (often with a subsampling step) and then followed by one or more fully connected layers as in a standard multilayer neural net…
code地址:https://github.com/dennybritz/nn-from-scratch 文章地址:http://www.wildml.com/2015/09/implementing-a-neural-network-from-scratch/ Get the code: To follow along, all the code is also available as an iPython notebook on Github. In this post we will i…
