👩‍🎓Online lectures on Special Topics in AI: Deep Learning

Fresh free and open playlist on special topics in #DL from University of Wisconsin-Madison. Topics covering reliable deep learning, generalization, learning with less supervision, lifelong learning, deep generative models and more.

Overview Lecture: https://www.youtube.com/watch?v=6LSErxKe634&list=PLKvO2FVLnI9SYLe1umkXsOfIWmEez04Ii
YouTube Playlist: https://www.youtube.com/playlist?list=PLKvO2FVLnI9SYLe1umkXsOfIWmEez04Ii
Syllabus: http://pages.cs.wisc.edu/~sharonli/courses/cs839_fall2020/schedule.html

#wheretostart #lectures #YouTube

Deep Learning free courses

Introduction to Deep Learning
🎬 10 video lesson
Duration ⏰: 1 week worth of material
🏃‍♂️ Self paced
📄 Notes, 👨‍🏫 Labs and many more
☢️ Projects, Competitions
Teacher: Alexander Amini, Ava Soleimany
Source: MIT
🔗 Course link

Practical Deep Learning For Coders
🎬 8 video lessons
📔 Book Read online
📄 Notes, 👨‍🏫 Labs and many more
Duration ⏰: 7 weeks long, 10 hours a week
🏃‍♂️ Self paced
Teacher: Jeremy Howard
Source: fast.ai
🔗 Course link

Deep Learning
by Kaggle, on youtube
🎬 13 video lesson
Duration ⏰: 2 hours worth of material
🔗 Course link

Learn Deep Learning and TensorFlow, without a Ph.D.
🎬 8 video lesson
Duration ⏰: 3 hours worth of material
🏃‍♂️ Self paced
📄 Notes, slides
Teacher: Martin Görner
Source: Google Cloud
🔗 Course link

Explore Deep Learning for Natural Language Processing
🎬 9 video lesson
Duration ⏰: 7-8 hours worth of material
🏃‍♂️ Self paced
Resource: Trailhead
🔗 Course link

Deep Learning Summer School
🎬 35 video lesson
Duration ⏰: 35+ hours
🏃‍♂️ Self paced
Resource: deeplearning
🔗 Course link

Deep Learning Prerequisites: The Numpy Stack in Python V2
Rating ⭐️: 4.5 out of 5
Students 👨‍🎓: 2230
Duration ⏰: 1hr 59min
Created by Lazy Programmer Team, Lazy Programmer Inc.
🔗 Course link

AI 101 Video Presentation
presentation given by 👨‍🏫: MIT’s Brandon Leshchinskiy
🔗 Presentation link

Deep Learning in Life Sciences - Spring 2021
🎬 22 video lesson
Duration ⏰: 31 hours worth of material
🏃‍♂️ Self paced
Teacher: Manolis Kellis
Resource: Class Central
🔗 Course link

Intro to Deep Learning
by Kaggle
Use TensorFlow and Keras to build and train neural networks for structured data.
Duration ⏰: 4 hours
🔗 Course link


Deep Learning An MIT Press book 📚
Authers: Ian Goodfellow, Yoshua Bengio and Aaron Courville
🔗 Book link

#Deep_Learning #deeplearning #dl #machinelearning
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