Neural Networks are inspired by the operation of biological neural networks. Artificial neural networks are typically optimized through a learning method based on mathematical statistics, making them a practical application of statistical methods. Like other machine learning methods, neural networks have been used to solve a variety of problems, such as machine vision and speech … Read more
Click on the “Deep Learning Lecture Hall” above to subscribe! The Deep Learning Lecture Hall is dedicated to promoting the latest technologies, products, and activities in artificial intelligence and deep learning. Host Liu Jinyang: First, let’s invite Teacher Wang Naiyan to give us a talk on “Applications of Deep Learning in Art”. In the past … Read more
This article is excerpted from the latest AI Bible “Deep Learning” published by the People’s Posts and Telecommunications Press. The English version of “Deep Learning” was released by the MIT Press in December 2016 and became popular worldwide upon publication. One of its major features is that it introduces the essence of deep learning algorithms, … Read more
Source | Little Elephant This article is excerpted from the latest publication by the People’s Posts and Telecommunications Press, the AI Bible “Deep LearningDEEP LEARNING[1]“. The English version of “Deep LearningDEEP LEARNING[2]” was published by the MIT Press in December 2016 and quickly became popular worldwide. A major feature of “Deep LearningDEEP LEARNING[3]” is that … Read more
This article is a note from Andrew Ng’s DeepLearning.ai course, covering the content of neural networks. The previous part can be found in[Simple Explanation of Neural Networks Part One] 4Activation Function When building a neural network, one important question to consider is which activation function to use for each independent layer. In logistic regression, the … Read more
Organized by Machine Heart Author：Wan Zhen Contributors: Machine Heart Editorial Team Andrew Ng’s DeepLearning.ai has released its final course on January 31. Recently, Wan Zhen from Chongqing University created a set of notes on the deep learning specialization course, which explains key concepts and assignment codes in detail, starting from the basics of neural networks … Read more
Andrew Ng’s DeepLearning.ai Course Notes 【Andrew Ng’s DeepLearning.ai Notes 1】Intuitive Explanation of Logistic Regression 【Andrew Ng’s DeepLearning.ai Notes 2】Popular Explanation of Neural Networks Part 1 【Andrew Ng’s DeepLearning.ai Notes 2】Popular Explanation of Neural Networks Part 2 Is deep learning not working well? Andrew Ng helps you optimize neural networks (1) To improve the training efficiency … Read more
Scan the QR code in the image to join the technology English live broadcast. Students interested in Andrew Ng’s latest deep learning course can take a look at this article first. Many people believe that machine learning is too specialized and has a high entry barrier. However, it has been proven that machine learning is … Read more
New Intelligence Report Source: deeplearning.ai Editor: Daming 【New Intelligence Guide】The initialization of neural networks is a crucial step in the training process, significantly affecting the model’s performance, convergence, and convergence speed. This article is a technical blog from deeplearning.ai, which points out that improper selection of initialization values can lead to problems such as gradient … Read more
Selected from Medium Author: Ryan Shrott Editor: Machine Heart The author of this article, Ryan Shrott, Chief Analyst at the National Bank of Canada, has completed all deep learning courses released by Andrew Ng on Coursera to date (as of October 25, 2017) and provides us with insights into the courses. Among the courses available … Read more