2D visualisation of CNN, here is the Interesting tool to understand CNN https://www.cs.ryerson.ca/~aharley/vis/conv/flat.html

MIT Introduction to Deep Learning 6.S191 (2020)
Very Impressive!
https://www.youtube.com/watch?v=l82PxsKHxYc&fbclid=IwAR1vb7a7z-yRw-GJ0gY4qQX3Ag8steN2Wz548wCqOg0LTHmTuWapENhNRSk

All course lectures are posted online:
https://www.youtube.com/watch?v=njKP3FqW3Sk&list=PLtBw6njQRU-rwp5__7C0oIVt26ZgjG9NI

For all lectures, slides, and lab materials vist http://introtodeeplearning.com

Interested in computer vision, self driving cars, medical image analysis, and more? Lecture 3 on Convolutional Neural Networks as part of MIT #IntroToDeepLearning is now available online! We'll be posting a new lecture every Friday at 1pm until the course is over. All lecture slides, videos, and software labs are #FREE and open to everyone!

Lecture 3 👉 https://www.youtube.com/watch?v=iaSUYvmCekI&list=PLtBw6njQRU-rwp5__7C0oIVt26ZgjG9NI&index=3
MIT course website 👉 http://introtodeeplearning.com

GANs, VAEs, and generative modeling are some of the hottest topics in deep learning right now. Interested? Lecture 4 of MIT #IntroToDeepLearning, on Deep Generative Modeling, is now available online! We'll be posting a new lecture every Friday at 1pm until the course is over. All lecture slides, videos, and software labs are #FREE and open to everyone!
Lecture 4 👉 https://bit.ly/2PyMdRv

⭐️⭐️ Deep Learning is incredibly powerful, but it also has some limitations that are leading some exciting new frontiers of research 🚀 Lecture 6 of MIT #IntroToDeepLearning, on Deep Learning: Limitations and New Frontiers, is now available online! All lecture slides, videos, and software labs are #FREE and open to everyone!
Lecture 6 👉 https://bit.ly/2WdGhll
MIT course website 👉 http://introtodeeplearning.com
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⭐️⭐️ Combining the power of Neural Networks with Symbolic Reasoning can lead to very exciting #AI advancements! Lecture 7 of MIT #IntroToDeepLearning, on Neurosymbolic AI, is now available online! All course lecture slides, videos, and software labs are #FREE and open to everyone!

Lecture 7 👉 https://bit.ly/2Wx98kB
MIT course website 👉 http://introtodeeplearning.com
Image may contain: 1 person, suit and text

FREE Virtual Meetup Series

Getting started with AI within 100mins

Overview
Come join us on the first-ever meetup as we have an engaging discussion and a value-adding conversation around - the landscape of artificial intelligence, deep learning with hands-on CNN. We will elaborate on what AI actually is, how it is all set to power the future, how it is driving businesses in around the globe in today's day and age, how to get started with artificial intelligence, how to build a strong AI portfolio and opportunities for freshers in AI, ML, and DS. This event also gives an opportunity to have hands-on Deep learning, you will get realtime experience to make your hands dirty in building the CNN model.

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This first series of part 1 is for novices. If you're more advanced, consider this as either as a refresher or join second parts for junior, intermediate and advanced sessions.

All the session in this series will be taken on google Hangouts, participants will get joining link in the confirmation mail of the meetup, We will start with a 5 min introduction to give time for people to join. We will pause a moment after each slide so people can ask the question. You can type your question in the chat-box.

Date: 4th April 2020, 7:30 PM to 10 PM

07:30-08.00 Part 1 Introduction to AI for newbies

08.00-08.45 Part 2 Neural Networks
08:45-09:00 Lab 1 (Hands-on )

09:00-09:40 Part 3 Convolutional Neural Networks
09:40-10:20 Lab 2 (Hands-on )

Registration link https://bit.ly/aiindiameetups

⭐️⭐️ Rendering techniques are enabling powerful advances in computer graphics, photorealistic simulation, and scene reconstruction. Lecture 9 of MIT #IntroToDeepLearning by Chuan Li on Neural Rendering is now available online! 🧠 🖥 All course lecture slides, videos, and software labs are #FREE and open to everyone!

Lecture 9 👉 https://bit.ly/3bTqa0y