Deep Learning Book Community | CommonLounge

Deep Learning Book

3431 members.

A supporting forum / community for the book by Ian Goodfellow, Yoshua Bengio and Aaron Courville available at deeplearningbook.org

Invite Members

Ask a question or start a poll…

Link

Poll

CommonLounge is a community of learners who learn together. Get started with the featured resources above, ask questions and discuss related stuff with everyone.

NaN.

discussion

Introduce yourself!by Keshav Dhandhania

A discussion for people to introduce themselves. Share your level of expertise, what you're looking for in this community, how you got started in deep learning, or anything else you'd like!

Read more…(31 words)

comment in this discussion

Abdulrehman Azam1y

Hello EveryOne !!!

I am Abdulrehman working as Graduate Researcher in a University of Engineering and Technology, Lahore Pakistan. I have bee...

Read more… (75 words)

NaN.

discussion

Chapter 5: Machine Learning Basicsby Keshav Dhandhania

If you're reading Deep Learning Book, feel free to ask questions, discuss the material or share resources.

Read more…(18 words)

comment in this discussion

Hi, I have a question about sentences of the page 102 of chapter 5.1.3. Regarding the formula 5.1, it says: this decomposition means that we can solve the ostensibly unsupervised problem of mo...

Read more… (63 words)

3.

discussion

Introduce yourself!by Keshav Dhandhania

A discussion for people to introduce themselves. Share your level of expertise, what you're looking for in this community, how you got started in deep learning, or anything else you'd like!

Read more…(31 words)

NaN.

discussion

How to derive equation (6.23) from (6.22) ?by Fan Li

I have a question about the sigmoid function as the question.

I wish some help on this problem.

Read more…(18 words)

comment in this discussion

P(y) = exp(y*z)/SUM[y'=0..1](y'*z) = exp(y*z)/(exp(0*z)+exp(1*z)) = exp(y*z)/(1+exp(z)) 6.22

P(y) = Sigmoid((2*y-1)*z) 6.23

where

Read more… (97 words)

NaN.

discussion

Chapter 2: Linear Algebraby Keshav Dhandhania

If you're reading Deep Learning Book, feel free to ask questions, discuss the material or share resources.

Below is a video from a book club in San Francisco, USA discussing this chapter. Presented by Gavin Crooks.

Read more…(37 words)

comment in this discussion

[1,-1] is not in span of [1,1] and [3,3].

Read more… (9 words)

NaN.

discussion

Introduce yourself!by Keshav Dhandhania

A discussion for people to introduce themselves. Share your level of expertise, what you're looking for in this community, how you got started in deep learning, or anything else you'd like!

Read more…(31 words)

comment in this discussion

Hidehiro Nagaoka2y

Hi guys! I'm a 30 years old software engineer living in Japan.

Recently, I'm studying machine learning and deep learning for my product and investment for myself.

I'm using text book from Raschka and Udacity deep le...

Read more… (57 words)

Load More