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Could anyone recommend a starting point on Neural Networks for the uninitiated? The parts of this I understood were fascinating, but I quickly realized I was lo
by rustyfe 10y ago
Could anyone recommend a starting point on Neural Networks for the uninitiated? The parts of this I understood were fascinating, but I quickly realized I was looking up every third word, and not really absorbing much.
If I could only read one thing to gain the technical grounding for this history, what should it be?
- deleted 10y ago[deleted]
- llSourcell 10y agohttps://www.youtube.com/watch?v=h3l4qz76JhQ https://www.youtube.com/watch?v=h3l4qz76JhQ
- billconan 10y agothis should get you started: http://neuralnetworksanddeeplearning.com/ http://neuralnetworksanddeeplearning.com/
- trophygeek 10y agoThis was the one that flipped the lightbulb for me. `Hacker's guide to Neural Networks` http://karpathy.github.io/neuralnets/ http://karpathy.github.io/neuralnets/
- trophygeek 10y agoActually, read that one 2nd. Start here: https://ujjwalkarn.me/2016/08/11/intuitive-explanation-convnets/ https://ujjwalkarn.me/2016/08/11/intuitive-explanation-convn...
- rustyfe 10y agoHey, the premise was I could only read one thing! I kid, much obliged.
- trophygeek 10y agolol. point Read the 2nd one then.
- WhoBeI 10y agoThat one was very good and links to a nice demo http://scs.ryerson.ca/~aharley/vis/conv/flat.html http://scs.ryerson.ca/~aharley/vis/conv/flat.html
- eddiepierce 10y agoKarpathy's course notes for Stanford's Convolutional Neural Networks for Visual Recognition is a great intro [1]. It starts with with linear classification, then moves to neural nets, and then explains convolutional neural nets. [1]: http://cs231n.github.io http://cs231n.github.io
- ramblenode 10y agoThe other suggestions in this thread are quite good. I'll add "Machine Learning" by Murphy. It's not strictly about neural networks but it's an ML classic and a rigorous introduction to the subject that will give you a principled understanding of the statistical fundamentals. For actual NN implementation the Karpathy and Nielson sources are excellent.
- p1esk 10y agoDefinitely not the starting point for someone who has no clue. Murphy is probably the very last thing one would read before becoming an expert, and start publishing ML papers.
- imh 10y agoThis course is a great first step in learning about neural nets: https://www.cs.ox.ac.uk/people/nando.defreitas/machinelearning/ https://www.cs.ox.ac.uk/people/nando.defreitas/machinelearni...
- j_juggernaut 10y agoHow about the textbook http://www.deeplearningbook.org/ http://www.deeplearningbook.org/. It introduces you to some of the underlying principles which haven't changed much over time. I highly recommend it if you want to get deeper intuitions on the principles of CNN, LSTM/RNN, Restricted Boltzmann Machines etc. Also, Hinton's Coursera lectures, though not sure if you can access it anymore.
- Joof 10y agoIt was on academic torrents I believe.
- vonnik 10y ago[Disclosure: I wrote this.] http://deeplearning4j.org/neuralnet-overview.html http://deeplearning4j.org/neuralnet-overview.html Also, this book is coming: https://www.amazon.com/Deep-Learning-Practitioners-Adam-Gibson/dp/1491914254/ https://www.amazon.com/Deep-Learning-Practitioners-Adam-Gibs...