he is one of the wingmakers
This People, They did not understand anything but they liked him.
Ok I disagree with how he answered the woman's question. There is a way to choose a MINIMAL amount of layers, based on the complexity of the data. It depends on convexity vs non-convexity in the data space. non-convexity requires a minimum of 2 hidden layers to represent. This is why before you dig into deep learning and all the modern stuff a good basis in Universal Approximation Theory and NN's as Universal Approximators is critical!
Very recommendable! Good overview!
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Great video. I came here after completing 4 video sessions by Lex (MIT 6:S094). Thanks for compling these videos.
omg! He has done a great job in explaining this entirely new field of research in an hour!
i study natural sciences what am i doing here
Hi from Brazil!! Thank you for sharing this. It is a really good material for researchers and who is initiating in this area.
Pro-Tip: 0.75x speed. You're welcome 🙂
At 1:19:40. Isn't that what Google is trying to do right now?
27:02 How are the gradients computed?1) Gradients of the loss with respect to the activation2) Gradients of the mean/sum of activations with respect to the input image
This is a great talk, really helped with my university project
= = I have a feeling that I accelerate the video…..since he speaks so fast
can anyone load the slides of this presentation
Great lecture – thanks! 🙂
Extra comment, so the important link is visible without expanding:I´m looking forward to dig into the extended version, namely the CS231n Winter 2016 Lecture series referenced in the video. (at https://www.youtube.com/watch?v=g-PvXUjD6qg&list=PLlJy-eBtNFt6EuMxFYRiNRS07MCWN5UIA )
Hey Lex,can´t thank you enough for splitting up the day-long streams! Much easier to consume — as I wanted to download to enjoy it on mobile!I came across Andrej Karpathy´s Deep Learning for Computer Vision yesterday.I´ve been trying to really understand CNNs and the Deep Learning paradigms technically for some time now and sucked up everything I could since July.Andrej´s lecture is the very best I found to get up to speed on most important details in the least possible time.
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