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There seems to be a pretty wide spectrum of abstraction for DL tools, from writing by hand to Theano to Keras, for example. Will this course focus on any tool in particular?
~80% focusses on TensorFlow, but we are working on Keras content in other Nanodegrees!
If anybody ever tried to use that as a credential, they'd waste more words trying to explain what it is, and what it's worth, than if they just told you what they actually knew verbatim.
I have a nanodegree in microwaving hot pockets. Ask me to defend its intrinsic value.
Earlier quoted context omitted.
Would you say that this program is subset of material covered in car nano-degree program?
Hi @halite, I'd say that covers a larger breadth of Deep Learning than the Self-Driving Car Nanodegree program. For instance, this program will cover Recurrent Neural Networks, Reinforcement Learning, Autoencoding, and other Deep Learning applications not covered in the Self-Driving Car Nanodegree. In the Self-Driving Car Nanodegree, we primarily focus on Deep Learning applications in Computer Vision. Here we'll cove…
https://github.com/llSourcell/predicting_stock_prices.
"100% Siraj" or 95% https://github.com/chaitjo/Regression-Stock-Prediction?
https://github.com/llSourcell/antivirus_demo or https://github.com/Te-k/malware-classification
etc
etc
And will be there be some type of discussion forum, like the one in the other popular deep learning course fast.ai?
Hi all, My name is Dhruv and I work on the AI programs here at Udacity. If you have any questions, feel free to ask them here or email me at dhruv@udacity.com. I'll do my best to answer everything! You can see our curriculum in depth here: https://medium.com/udacity/deep-learning-nanodegree-foundati...
Hi all, My name is Dhruv and I work on the AI programs here at Udacity. If you have any questions, feel free to ask them here or email me at dhruv@udacity.com. I'll do my best to answer everything! You can see our curriculum in depth here: https://medium.com/udacity/deep-learning-nanodegree-foundati...
1. How much power would we need? I'd assume a Thinkpad X230 won't do. If we need a moderately powerful system, do you provide AWS (or equivalent)? 2. I watch Siraj's videos. Although they are fun and useful, they are very short and resemble a recipe in a cookbook (no offense intended). Is the course going to be the same as videos? Or is it going to be discussing all the necessary mathematics/statistics? 3. I couldn't…
1. We'll provide instructions to use AWS (65 cents an hour) and are working with AWS to get students credits. We've done this in the past so there's a decent chance we get this but no guarantees yet.
2. The course is going to be Siraj's videos supplemented with additional content to go deeper into the math/statistics and to actually do problem sets and projects. So Siraj is meant to be the starting point from where we go deeper.
3. Mat Leonard will be the main instructor and did is PhD in Physics and Statistical Neuroscience at Berkeley. He's done his fair share of reading from books in the field and will be able to answer your technical questions.
Hi all, My name is Dhruv and I work on the AI programs here at Udacity. If you have any questions, feel free to ask them here or email me at dhruv@udacity.com. I'll do my best to answer everything! You can see our curriculum in depth here: https://medium.com/udacity/deep-learning-nanodegree-foundati...
What does "Live session" mean? I can't find anywhere on Udacity where this is described. It seems like it is a selling point of the program, but why it is a selling point, seems unclear on the on boarding page.
Hi all, My name is Dhruv and I work on the AI programs here at Udacity. If you have any questions, feel free to ask them here or email me at dhruv@udacity.com. I'll do my best to answer everything! You can see our curriculum in depth here: https://medium.com/udacity/deep-learning-nanodegree-foundati...
how much time is one expected to spend on this course each week?