本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.
Một cuốn sách về Học Sâu đề cập đến nhiều framework phổ biến, được sử dụng trên 300 trường Đại học từ 55 đất nước bao gồm MIT, Stanford, Harvard, và Cambridge.
The Java implementation of Dive into Deep Learning (D2L.ai)
This repository contains Tensorflow 2 code for Attention Mechanisms chapter of Dive into Deep Learning (D2L) book.
Dive to Deep Learning with Pytorch C++ API
A easy tool to download usc den video using just one right click. Using tampermonkey and node.js
ETL data flows in Domo Analytics for querying Brightspace by D2L data sets related to awards, rubrics, quizzes, surveys, gradebook and outcomes
Adds a few Quality of Life tweaks to the online educational platform Brightspace Desire2Learn (D2L).
Just the flip cards and knowledge checks (multiple choice, short answer, matching, ordering) from d2l-content-templates as standalone HTML pages
This repo provides Pytorch implementation for codes in the book "Dive Into Deep Learning" (http://d2l.ai/) and course Berkeley STAT 157 (https://courses.d2l.ai), which gives a brief tutorial on deep learning methods.
Formats and pivots data from Brightspace by D2L intelligent agents, outcomes, and survey reports (manual Excel workflows also included)
Slides for Dive into Deep Learning book
Updated content templates (originally designed by Brightspace by D2L) with more accessibility and interactivity with flip cards and knowledge checks
An angular application to easily view and save, data-sets retrieved using Brightspace APIs. Using a Go backend
This repository contains Tensorflow 2 code for Generative Adversarial Networks chapter of Dive into Deep Learning (D2L) book.
Learn from *Dive into Deep Learning*, take notes, and do some modification.
Add a description, image, and links to the d2l topic page so that developers can more easily learn about it.
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