Explore deep learning books, reading lists, and resources. Topics include AI, parallel computing, accelerated data science, and more.
Learning how to practice deep work requires you to be more intentional than you’ve ever been in sitting down regularly to concentrate on high-impact tasks. These strategies will help you select your preferred form of deep work, build a routine from scratch, and provide operating principles and...
AI, machine learning, and deep learning try to predict the likelihood of future events and prescribe how to increase the likelihood of those events actually occurring. A simple example illustrating this is the GPS guiding you from point A to point...
Deep learning is a fast-changing field at the intersection of computer science and mathematics. It is a relatively new branch of a wider field called machine learning. The goal of machine learning is to teach computers to perform various tasks based on the given data. This guide is for those...
Learn Deep Learning in 2023 with best Deep Learning courses, best Deep Learning tutorials & best Deep Learning books in 2023
Deep learning is all the rage these days. So I've compiled the best deep learning courses available online.
《Deep Learning Tuning Playbook 》内容:Guide for starting a new project Choosing the model ...
Video recognition employs AI to complete the tasks by applying enhanced deep learning (DL) and computer vision (CV) models to live video streams or recorded video footage. The following are the most common waysAI video recognitionworks:
教材网址:《动手学深度学习》(中文版),《Dive into Deep Learning》 0.17.1 documentation 课程主页:...
《Faster deep learning with GPUs and Theano》 介绍:基于Theano/GPU的高效深度学习. 《Introduction to R Programming》 介绍:来自微软的. 《Golang:Web Server For Performing Sentiment Analysis》 介绍:(Go)情感分析API服务Sentiment Server. 《A Beginner’s Guide to Restricted Boltzmann Machines》 ...