Source | Network One thing that might surprise beginners is that neural network models are not complex! The term ‘neural network’ sounds impressive, but in fact, neural network algorithms are simpler than people think. This article is entirely prepared for beginners. We will understand the principles of neural networks by implementing one from scratch using … Read more
Source: CSDN Blog Algorithm Advancement This article is about 9700 words, and it is recommended to read in 5 minutes. Today, I will introduce a great beginner article about machine learning. For programmers, the importance of machine learning goes without saying. Maybe you haven’t started yet, or maybe you’ve failed before, but it doesn’t matter, … Read more
Click the "Little White Learning Vision" above, select "Star" or "Top" Heavy content delivered as soon as possible Author: Cat-Eating Fish Python @CSDN Editor: 3D Vision Developer Community Table of Contents 1. What is Computer Vision? 2. Basic Image Processing Operations Image Processing: Read Image Image Processing: Display Image Image Processing: Save Image 3. Introduction … Read more
Source: Machine Learning Algorithms Python is arguably the sharpest weapon for machine learning; conversely, machine learning provides the power to expand influence and recreate brilliance for Python. The two complement each other to such an extent that whenever machine learning is mentioned, people naturally think of Python. Although this perspective may be somewhat narrow, there … Read more
Click on the above“Beginner’s Guide to Vision” to choose to add Star or Pin. Important content delivered promptly Mu Yi from A Fei Temple From | Quantum Bits Using mature frameworks like Tensorflow and PyTorch to implement Recurrent Neural Networks (RNNs) has greatly lowered the technical barriers to entry. However, for beginners, this is still … Read more
Madio.net Mathematics China ///Editor: Only tulips’ garden Neural networks are a clever combination of linear and nonlinear modules. When we wisely choose and connect them, we have a powerful tool to approximate any mathematical function. For example, using nonlinear decision boundaries for classification. The backpropagation technique is responsible for updating the trainable parameters. Although it … Read more
This article introduces the basic concepts in deep learning neural networks: Vectors, Matrices, and Multidimensional Arrays Basics of Neural Networks Activation Functions Implementing Fully Connected Networks from Scratch Mathematics and Python Basics In neural networks, vectors and matrices are ubiquitous. Below is an introduction to creating one-dimensional, two-dimensional, and higher-dimensional arrays using numpy. Vector (One-Dimensional … Read more
MLNLP community is a well-known machine learning and natural language processing community both domestically and internationally, covering NLP graduate students, university professors, and researchers in enterprises. The vision of the community is to promote communication and progress among the academic and industrial circles of natural language processing and machine learning, especially for beginners. Reprinted from … Read more
Source | Asynchronous | Book Giveaway at the End 01 How to Build the Simplest GPT What is the Learning Method for GPT? Borrowing the famous quote from Linus, “talk is cheap, show me the code”, there is nothing more suitable than building a GPT from scratch. Some students may be intimidated, thinking that something … Read more
Original link:https://medium.com/towards-artificial-intelligence/one-lego-at-a-time-explaining-the-math-of-how-neural-networks-learn-with-implementation-from-scratch-39144a1cf80 From:Yongyu Excerpted from Algorithm Notes https://github.com/omar-florez/scratch_mlp/ The author explains step by step the mathematical processes used in training a neural network from scratch. Neural networks are cleverly arranged linear and nonlinear modules. The above image describes some of the mathematical processes involved in training a neural network. We will explain this in the … Read more