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zakruti.com » IT - Software » freeCodeCamp.org
Practical Deep Learning for Coders - Full Course from fast.ai and Jeremy Howard

Practical Deep Learning for Coders - Full Course from fast.ai and Jeremy Howard

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Rating: 4.0; Vote: 1
Practical Deep Learning for Coders is a course from fast.ai designed to give you a complete introduction to deep learning. This course was created to make deep learning accessible to as many people as possible. The only prerequisite for this course is that you know how to code (a year of experience is enough), preferably in Python, and that you have at least followed a high school math course. This course was developed by Jeremy Howard and Sylvain Gugger. Jeremy has been using and teaching machine learning for around 30 years. He is the former president of Kaggle, the world's largest machine learning community. Sylvain Gugger is a researcher who has written 10 math textbooks. - Course website with questionnaires, set-up guide, and more: https://course.fast.ai/ Lessons 7 and 8 are in a second video: https://youtu.be/HL7LOfyf6bc
Date: 2022-03-14

Comments and reviews: 10


1:34:00, what about if i shuffle my dataset before separating training and validation data every time i start training the model from zero (when tweaking the parameters)?
I'm doing basically that, as i don't feel i have enough data to be worth it separating some data just for testing once i have a model with high accuracy and feel like it's enough.

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Hi! i need sub in spanish or english plis haha... I am really interested in the video but my level of English when listening is bad (and my lvl of writing i thinks i too bad) but i make the effort to get better with the time, if you can put subs in english or spanish i will be grateful!
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You have done an awesome job, the lecture is so interesting and a well balanced theory and practical in between. Just completed the first chapter and looking forward for the journey. I don't know but Rachel reminds me of Sheldon Cooper.
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Question: At 14:14 , how is it possible that the 2nd layer of neurons could learn any complex function (non-linear) like XOR? Normally adding up linear layers will result in a linear model. Can someone explain this, please?
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Serious questions, why all smart people have spiky hair. I listen to them more attentively. Jokes apart, really appreciate the generosity of Jeremy, Rachael, Sylvain and the entire team also freecodecamp.
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Random passive aggressive anti WYT statements by the female sjvv detracted a lot from this. Hopefully some of us use fast AI to help disprove the so called gender wage gap and other w0ke garbage theory
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This course is truly fantastic! Truly one of the best and useful ones on the subject out there. So lucky to be able to follow it through, and through jupyter books ready to go! Thank you!!!
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Just ordered the book and support this cause I wanna do this in 2021-2022 and looking forward for community support thank you freecodecamp -fastai and everyone who made this possible
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For the code to work in colab, do -!pip install fastai --upgrade- first and then change -from fastai2.vision.all import -- to -from fastai.vision.all import --
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Very cool! Do you guys think this course would make sense for a novice Python programmer? Or should I work more on my fundamentals before jumping in? Thanks!
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