Deep Learning Applications in Art

Deep Learning Applications in Art

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

The History of Deep Learning

The History of Deep Learning

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

The Development History of Deep Learning

The Development History of Deep Learning

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

Deep Learning for Stock Pricing

Deep Learning for Stock Pricing

Report from the Quantitative Investment and Machine Learning WeChat Public Account Editorial Department Unauthorized reproduction is prohibited Speech Overview The 2021 World Artificial Intelligence Conference was held from July 8 to 10, 2021, at the Shanghai Expo Center and the Shanghai Expo Exhibition Hall simultaneously. Since its inception in 2018, the World Artificial Intelligence Conference … Read more

Simple Explanation of Neural Networks

Simple Explanation of Neural Networks

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

302 Page Notes on Andrew Ng’s Deeplearning.ai Course: Key Concepts and Code

302 Page Notes on Andrew Ng's Deeplearning.ai Course: Key Concepts and Code

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

Optimizing Neural Networks: Techniques and Methods

Optimizing Neural Networks: Techniques and Methods

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

Deep Learning Course Review by Andrew Ng: Key Insights

Deep Learning Course Review by Andrew Ng: Key Insights

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

Understanding Neural Network Initialization

Understanding Neural Network Initialization

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

Intuitive Explanation of Logistic Regression by Andrew Ng

Intuitive Explanation of Logistic Regression by Andrew Ng

Deep Learning is a major branch of Machine Learning, which attempts to use algorithms with multiple processing layers containing complex structures or multiple nonlinear transformations to perform high-level abstractions of data. Logistic Regression (Logistic Regression, also translated as “Log-Odds Regression”) is one of the discrete choice models, belonging to the category of multivariate analysis. It … Read more