Exploring RNN Interpretability Methods Proposed by Zhou Zhihua et al.

Exploring RNN Interpretability Methods Proposed by Zhou Zhihua et al.

Selected from ArXiv Authors: Bo-Jian Hou, Zhi-Hua Zhou Contributors: Si Yuan, Xiao Kun This article is authorized for reproduction by Almost Human (almosthuman2014) Reproduction is prohibited Apart from numerical calculations, do you really know what neural networks are doing internally? We have always understood deep models based on their computational flow, but we are still … Read more

Can We Use RNNs to Write Strategies?

Can We Use RNNs to Write Strategies?

Editor: We have a user who enjoys using machine learning to experiment with strategies. His descriptions of several models are quite vivid, and he has written a demo strategy using PonderLSTM, which we are sharing today~ The ACT model simulates the thinking process of complex problems by performing multiple computations at each time step (time … Read more

Keras Implementation of RNN-LSTM for Bitcoin and Ethereum Price Prediction

Keras Implementation of RNN-LSTM for Bitcoin and Ethereum Price Prediction

[Introduction]This article is a great technical blog written by Siavash Fahimi, mainly explaining how to implement Keras to realize RNN-LSTM for predicting the prices of Bitcoin and Ethereum. In the past year, besides AI, the hottest term in the internet industry has been blockchain. Although this article does not cover the technical explanation of blockchain, … Read more

Understanding RNNs: Structure, Advantages, and Applications

Understanding RNNs: Structure, Advantages, and Applications

Neural networks are the backbone of deep learning, and among the various neural network models, RNNs are the most classic. Despite their imperfections, they possess the ability to learn from historical information. Subsequent frameworks, whether the encode-decode framework, attention models, self-attention models, or the more powerful Bert model family, have evolved and strengthened by standing … Read more

Implementing a Neural Network from Scratch in Python

Implementing a Neural Network from Scratch in Python

Click the "Advanced Programming" above and select the "Star" public account Super valuable content delivered to you immediately!!! In this article, we will demonstrate how to build a simple three-layer neural network from scratch. Although we will not derive all the mathematical operations involved in detail, I will do my best to explain our approach … Read more

Using ChatGPT to Write a Neural Network: Surprisingly Effective

Using ChatGPT to Write a Neural Network: Surprisingly Effective

Machine Heart Report Editor: Egg Sauce AI writing AI came faster than expected. Since its launch at the end of last year, the conversational AI model ChatGPT has become popular throughout the community. ChatGPT is indeed an amazing tool, like a “Pandora’s box.” Once you find the right way to open it, you may find … Read more

Fundamentals of Neural Networks

Fundamentals of Neural Networks

(Click the public account above, you can quickly follow) Source: Poll’s Notes cnblogs.com/maybe2030/p/5597716.html If you have good articles to submit, please click → here for details Table of Contents 1. Neuron Model 2. Perceptron and Neural Networks 3. Backpropagation Algorithm 4. Common Neural Network Models 5. Deep Learning 6. References Currently, deep learning (Deep Learning, … Read more

Tesla Executive Reveals Autonomous Driving Technology: 48 Neural Networks in Action, Detecting Up to 1000 Objects

Tesla Executive Reveals Autonomous Driving Technology: 48 Neural Networks in Action, Detecting Up to 1000 Objects

How Does Tesla Achieve City Autonomous Driving with Cameras? Written by | James Recently, Tesla updated its autonomous driving software to version 2020.12, which includes the automatic recognition of traffic lights and stop signs. If Tesla is equipped with the FSD full self-driving capability package, it can experience the autonomous driving feature of stopping at … Read more

An Overview of Graph Convolutional Networks

An Overview of Graph Convolutional Networks

Technical Column Author: Liu Zhongyu Edited by Luobotu Today, I want to share with you about Graph Convolutional Networks. With the development of artificial intelligence, many people have heard of concepts like machine learning, deep learning, and convolutional neural networks. However, Graph Convolutional Networks are not often mentioned. So, what are Graph Convolutional Networks? Simply … Read more

Understanding Deep Learning: Basics of Artificial Neural Networks

Understanding Deep Learning: Basics of Artificial Neural Networks

Reprinted from Yunqi Community as required ID: yunqiinsight Author | doflamingo Introduction I have touched on deep learning during my studies, but only superficially. In this era of data and algorithms, it is necessary to get closer to the algorithms. Therefore, from the perspective of an engineer, I hope to record the basics of deep … Read more