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www.analyticsvidhya.com | ||
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jaketae.github.io
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| | | | | Recently, a friend recommended me a book, Deep Learning with Python by Francois Chollet. As an eager learner just starting to fiddle with the Keras API, I decided it was a good starting point. I have just finished the first section of Part 2 on Convolutional Neural Networks and image processing. My impression so far is that the book is more focused on code than math. The apparent advantage of this approach is that it shows readers how to build neural networks very transparently. It's also a good introduction to many neural network models, such as CNNs or LSTMs. On the flip side, it might leave some readers wondering why these models work, concretely and mathematically. This point notwithstanding, I've been enjoying the book very much so far, and this post is... | |
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www.v7labs.com
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| | | | | Recurrent neural networks (RNNs) are well-suited for processing sequences of data. Explore different types of RNNs and how they work. | |
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www.nyas.org
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| | | | | Renowned AI expert Yann LeCun, discussed everything from his foundational research in neural networks to his optimistic outlook on the future of AI technology. | |
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tracebit.com
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| | | We explore what generative AI means for canaries, deception and honeypots. Both from an offense and defense perspective and what we're doing at Tracebit. | ||
