Home » MIT 6.S191 (2019): Visualization for Machine Learning (Google Brain) financial deepmind

MIT 6.S191 (2019): Visualization for Machine Learning (Google Brain) financial deepmind

by Dragonspear



MIT Introduction to Deep Learning 6.S191: Lecture 7
Data Visualization for Machine Learning
Lecturer: Fernanda Viegas
Google Brain Guest Lecture
January 2019

For all lectures, slides and lab materials: .

Images related to the topic financial deepmind

MIT 6.S191 (2019): Visualization for Machine Learning (Google Brain)

MIT 6.S191 (2019): Visualization for Machine Learning (Google Brain)

Search related to the topic MIT 6.S191 (2019): Visualization for Machine Learning (Google Brain)

#MIT #6S191 #Visualization #Machine #Learning #Google #Brain
MIT 6.S191 (2019): Visualization for Machine Learning (Google Brain)
financial deepmind
See all the latest ways to make money online: See more here
See all the latest ways to make money online: See more here

Related Posts

22 comments

Furkan Turan 09/09/2021 - 3:04 Sáng

Basimiza gelmedik bela kalmicak bunlar yüzünden 🙂

Reply
DrBe2020 09/09/2021 - 3:04 Sáng

This lecture is a gem, and I'm left scratching my head as to why it has just a thousand likes; and seventeen dislikes — really? About word vector visualizations: just wondering if it even makes sense to try to get rid of biases in word vectors without curating every single bit of the corpus? Is there some way out of this?

Reply
Inam ur rehman 09/09/2021 - 3:04 Sáng

woa

Reply
Константин Куценко 09/09/2021 - 3:04 Sáng

This is very inspiring video for me: in 2018 I was trying to develop the abstract model for emotion recognition from text, I called it 'semantic melodies' in connection with text tonalities. It was very poor, but at the same time I found that some words like spirit/inspiration/respiration are connected between at least English and Russian in the same way. Points shown in this video could help to develop those ideas further! I've saw few videos of words embeddings already, but this gives much greater taste. Thank you so much, I'm very grateful this channel exists, please keep your work going, I would be watching every new one video!

Reply
Julian Hesse 09/09/2021 - 3:04 Sáng

This is such important work!!

With visualizations like these we can begin to understand Neural Networks!!

Reply
Arefin Sami 09/09/2021 - 3:04 Sáng

She knows how to talk and present.

Reply
Arefin Sami 09/09/2021 - 3:04 Sáng

Mind blowing.

Reply
pervez bhan 09/09/2021 - 3:04 Sáng

easy to make fool

Reply
Shivam Raisharma 09/09/2021 - 3:04 Sáng

What an amazing lecture and presentation 👏

Reply
zt0t0s 09/09/2021 - 3:04 Sáng

Is it a graduate or undergraduate course ?

Reply
Artur Czekalski 09/09/2021 - 3:04 Sáng

Great topic! Great talk!

Reply
Devarsh Shah 09/09/2021 - 3:04 Sáng

Wow

Reply
Sandeep Mandrawadkar 09/09/2021 - 3:04 Sáng

Out of imagination concept! Moving towards Natural Language…

Reply
Sumanpreet Kaur 09/09/2021 - 3:04 Sáng

Good Presentation and informative on a deep level. You always explained in an impressive way. Can you please provide me your mail I'd.

Reply
Bokkie Yeung 09/09/2021 - 3:04 Sáng

sometimes there is no one-on-one mapping between 2 different languages, e.g., there is just no a corresponding word in language A for a to-be-translated word in language B, how will the computer deal with such case?

Reply
Liangzhi Tang 09/09/2021 - 3:04 Sáng

Mistake in cifar10, impressive !!!

Reply
Xraid32 09/09/2021 - 3:04 Sáng

Watching this after "Connections between physics and deep learning" by Max Tegmark is interesting (2016). He focuses a lot on things like locality that exist in the natural world we live in and neural networks. It is a very "aHa!" moment to see the languages behaving in such a local way in the embedding projector. I think that's very neat.

Reply
Thomas Czerniawski 09/09/2021 - 3:04 Sáng

The multi-lingual embedding space is blowing my mind

Reply
Victor Pimshin 09/09/2021 - 3:04 Sáng

thnx!

Reply
Jun Zhang 09/09/2021 - 3:04 Sáng

awesome talk! amazing tools!

Reply
9Xaero 09/09/2021 - 3:04 Sáng

<3

Reply
Markus Sagen 09/09/2021 - 3:04 Sáng

Great!

Reply

Leave a Comment