Also CS231n - http://cs231n.stanford.edu/ - Convolutional Neural Networks for Visual Recognition
CS 20SI: Tensorflow for Deep Learning Research
11–20 of 31 posts
Re: CS 20SI: Tensorflow for Deep Learning Research
#12FWIW, Udacity has had a Deep Learning with Tensorflow course for a while. (Note that I'm somewhat ambivalent about Udacity - a lot of it is copy-and-paste stuff, though it does help to get you started.) https://www.udacity.com/course/deep-learning--ud730
IMO the Udacity course is very poorly authored and taught. I would not recommend it to someone who has a primary goal of learning TensorFlow unless you have a pretty deep understanding of deep learning to begin with.
Re: CS 20SI: Tensorflow for Deep Learning Research
#13If anybody interested: i've been learning it and wrote some blog posts about it:
https://blog.metaflow.fr/tensorflow-a-primer-4b3fa0978be3#.2...
I hope it can be useful for future learners! (you can find the current list of articles at the end of the first one)
Re: CS 20SI: Tensorflow for Deep Learning Research
#14Side note, the instructor of that course, Chip Huyen, is nothing short of brilliant.
Born in Vietnam, at 18 she decided not to go to college, and went traveling with an empty pocket around the world and wrote books. I heard about her getting accepted in many tip-top schools and chose to go to Stanford 4-5 years ago at 22-23 year old.
So seems like she is still an undergrad/master student in Stanford or something right now, and she is already teaching a course. Definitely going to go far.
Re: CS 20SI: Tensorflow for Deep Learning Research
#15If anybody interested: i've been learning it and wrote some blog posts about it: https://blog.metaflow.fr/tensorflow-a-primer-4b3fa0978be3#.2... I hope it can be useful for future learners! (you can find the current list of articles at the end of the first one)
That is a very helpful primer. What resources did you use to learn that level of understanding in TensorFlow? Just the codebase? If you have any other articles or references to recommend, please do so. Thanks!
Re: CS 20SI: Tensorflow for Deep Learning Research
#16FWIW, Udacity has had a Deep Learning with Tensorflow course for a while. (Note that I'm somewhat ambivalent about Udacity - a lot of it is copy-and-paste stuff, though it does help to get you started.) https://www.udacity.com/course/deep-learning--ud730
IMO the Udacity course is very poorly authored and taught. I would not recommend it to someone who has a primary goal of learning TensorFlow unless you have a pretty deep understanding of deep learning to begin with.
They have a nanodegree class that is much better. I have been taking it the past two months and I highly recommend it https://www.udacity.com/course/deep-learning-nanodegree-foun...
Re: CS 20SI: Tensorflow for Deep Learning Research
#17If anybody interested: i've been learning it and wrote some blog posts about it: https://blog.metaflow.fr/tensorflow-a-primer-4b3fa0978be3#.2... I hope it can be useful for future learners! (you can find the current list of articles at the end of the first one)
That is a very helpful primer. What resources did you use to learn that level of understanding in TensorFlow? Just the codebase? If you have any other articles or references to recommend, please do so. Thanks!
Thanks for this feedback!
I've just spent some time learning TF on my own using the official doc and made a lot of projects on my Githubs.
If you're interested, here is the complete list of my articles so far:
How to handle shapes in TensorFlow: https://blog.metaflow.fr/shapes-and-dynamic-dimensions-in-te...
TensorFlow saving/restoring and mixing multiple models: https://medium.com/@morgangiraud/tensorflow-saving-restoring...
How to freeze a model and serve it with a python API: https://blog.metaflow.fr/tensorflow-how-to-freeze-a-model-an...
TensorFlow howto: a universal approximator inside a neural net: https://blog.metaflow.fr/tensorflow-howto-a-universal-approx...
How to optimise your input pipeline with queues and multi-threading: https://blog.metaflow.fr/tensorflow-how-to-optimise-your-inp...
Re: CS 20SI: Tensorflow for Deep Learning Research
#18Side note, the instructor of that course, Chip Huyen, is nothing short of brilliant. Born in Vietnam, at 18 she decided not to go to college, and went traveling with an empty pocket around the world and wrote books. I heard about her getting accepted in many tip-top schools and chose to go to Stanford 4-5 years ago at 22-23 year old. So seems like she is still an undergrad/master student in Stanford or something righ…
That's really cool. I wonder what the admission process looked like for her.
Re: CS 20SI: Tensorflow for Deep Learning Research
#19Side note, the instructor of that course, Chip Huyen, is nothing short of brilliant. Born in Vietnam, at 18 she decided not to go to college, and went traveling with an empty pocket around the world and wrote books. I heard about her getting accepted in many tip-top schools and chose to go to Stanford 4-5 years ago at 22-23 year old. So seems like she is still an undergrad/master student in Stanford or something righ…
That's really cool. I wonder what the admission process looked like for her.
Still had to do the SAT and went through the admission process. She had a lot of publicity in Vietnam at that point, and the rumor was that she had some god-tier percentile on the SAT score, too.
I don't think that was very hard for Stanford to recognize that they have some good stuff.
Re: CS 20SI: Tensorflow for Deep Learning Research
#20Earlier quoted context omitted.
IMO the Udacity course is very poorly authored and taught. I would not recommend it to someone who has a primary goal of learning TensorFlow unless you have a pretty deep understanding of deep learning to begin with.
They have a nanodegree class that is much better. I have been taking it the past two months and I highly recommend it https://www.udacity.com/course/deep-learning-nanodegree-foun...
I have watched a lot of Siraj's YouTube videos. He is a very entertaining speaker, but never felt like I actually learned a ton. Is the nanodegree on Udacity better?