The below resources are the ones I used when I started to learn about DL&#x2F;NNs. Some of them are focused specifically on certain applications, but I found them helpful, too.<p>Basic NNs:<p><a href="http:&#x2F;&#x2F;www.wildml.com&#x2F;2015&#x2F;09&#x2F;implementing-a-neural-network-from-scratch&#x2F;" rel="nofollow">http:&#x2F;&#x2F;www.wildml.com&#x2F;2015&#x2F;09&#x2F;implementing-a-neural-network-...</a> (a whole series, all worth reading)<p><a href="https:&#x2F;&#x2F;gist.github.com&#x2F;sthware&#x2F;c47824c116e6a61a56d9" rel="nofollow">https:&#x2F;&#x2F;gist.github.com&#x2F;sthware&#x2F;c47824c116e6a61a56d9</a> (my code based on the above)<p><a href="http:&#x2F;&#x2F;iamtrask.github.io&#x2F;2015&#x2F;07&#x2F;27&#x2F;python-network-part2&#x2F;" rel="nofollow">http:&#x2F;&#x2F;iamtrask.github.io&#x2F;2015&#x2F;07&#x2F;27&#x2F;python-network-part2&#x2F;</a><p><a href="http:&#x2F;&#x2F;rolisz.ro&#x2F;2013&#x2F;04&#x2F;18&#x2F;neural-networks-in-python&#x2F;" rel="nofollow">http:&#x2F;&#x2F;rolisz.ro&#x2F;2013&#x2F;04&#x2F;18&#x2F;neural-networks-in-python&#x2F;</a><p>ML:<p><a href="http:&#x2F;&#x2F;cs229.stanford.edu&#x2F;materials.html" rel="nofollow">http:&#x2F;&#x2F;cs229.stanford.edu&#x2F;materials.html</a><p><a href="http:&#x2F;&#x2F;onlinestatbook.com&#x2F;2&#x2F;index.html" rel="nofollow">http:&#x2F;&#x2F;onlinestatbook.com&#x2F;2&#x2F;index.html</a><p>DL in general, RNNs, RNTS, CNNs, some others:<p><a href="http:&#x2F;&#x2F;cs224d.stanford.edu&#x2F;syllabus.html" rel="nofollow">http:&#x2F;&#x2F;cs224d.stanford.edu&#x2F;syllabus.html</a><p><a href="http:&#x2F;&#x2F;cs231n.stanford.edu&#x2F;syllabus.html" rel="nofollow">http:&#x2F;&#x2F;cs231n.stanford.edu&#x2F;syllabus.html</a><p><a href="http:&#x2F;&#x2F;mattmazur.com&#x2F;2015&#x2F;03&#x2F;17&#x2F;a-step-by-step-backpropagation-example&#x2F;" rel="nofollow">http:&#x2F;&#x2F;mattmazur.com&#x2F;2015&#x2F;03&#x2F;17&#x2F;a-step-by-step-backpropagati...</a><p><a href="http:&#x2F;&#x2F;arxiv.org&#x2F;pdf&#x2F;cs&#x2F;0205070.pdf" rel="nofollow">http:&#x2F;&#x2F;arxiv.org&#x2F;pdf&#x2F;cs&#x2F;0205070.pdf</a><p><a href="http:&#x2F;&#x2F;colah.github.io&#x2F;posts&#x2F;2015-08-Understanding-LSTMs&#x2F;" rel="nofollow">http:&#x2F;&#x2F;colah.github.io&#x2F;posts&#x2F;2015-08-Understanding-LSTMs&#x2F;</a><p><a href="http:&#x2F;&#x2F;karpathy.github.io&#x2F;2015&#x2F;05&#x2F;21&#x2F;rnn-effectiveness&#x2F;" rel="nofollow">http:&#x2F;&#x2F;karpathy.github.io&#x2F;2015&#x2F;05&#x2F;21&#x2F;rnn-effectiveness&#x2F;</a><p><a href="http:&#x2F;&#x2F;nlp.stanford.edu&#x2F;~socherr&#x2F;EMNLP2013_RNTN.pdf" rel="nofollow">http:&#x2F;&#x2F;nlp.stanford.edu&#x2F;~socherr&#x2F;EMNLP2013_RNTN.pdf</a><p><a href="http:&#x2F;&#x2F;alexdavies.net&#x2F;talks&#x2F;" rel="nofollow">http:&#x2F;&#x2F;alexdavies.net&#x2F;talks&#x2F;</a><p><a href="http:&#x2F;&#x2F;www.socher.org&#x2F;index.php&#x2F;Main&#x2F;SemanticCompositionalityTh" rel="nofollow">http:&#x2F;&#x2F;www.socher.org&#x2F;index.php&#x2F;Main&#x2F;SemanticCompositionalit...</a>
roughRecursiveMatrix-VectorSpaces<p><a href="http:&#x2F;&#x2F;colah.github.io&#x2F;posts&#x2F;2014-03-NN-Manifolds-Topology&#x2F;" rel="nofollow">http:&#x2F;&#x2F;colah.github.io&#x2F;posts&#x2F;2014-03-NN-Manifolds-Topology&#x2F;</a><p><a href="http:&#x2F;&#x2F;colah.github.io&#x2F;posts&#x2F;2014-07-NLP-RNNs-Representations&#x2F;" rel="nofollow">http:&#x2F;&#x2F;colah.github.io&#x2F;posts&#x2F;2014-07-NLP-RNNs-Representation...</a>