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Dive into Deep Learning: Interactive deep learning book with codes and maths
- ericjmorey 3y agoIt's a shame that they don't include a chapter on ethics the way [Deep Learning for Coders with Fastai and PyTorch: AI Applications Without a PhD](https://course.fast.ai/Resources/book.html https://course.fast.ai/Resources/book.html) does. I hope people read the etics chapter or use the ethics section of the [associated free course](https://course.fast.ai/ https://course.fast.ai/) to fill in that oversight on the Amazon Engineers' part. Also it's a bit annoying that they address the fact that other resources exist but vaguely handwaved over the difference between their resources and the existing ones with "the others are not as up to date and don't have as much detail". Source: https://programming.dev/post/7017669 https://programming.dev/post/7017669
- cl42 3y agoIf folks are looking for free deep learning resources, here are a few more that I’ve personally vetted: https://phaseai.com/resources/free-resources-ai-ml-2024 https://phaseai.com/resources/free-resources-ai-ml-2024 FWIW, my recommendation with this sort of stuff is to build something alongside of the reading you are doing. One of the things I’m exploring is building an OpenAI Gym-like project where we build neural nets to play various games. If that’s of interest to anyone, please post below!
- beckford 3y agoReading + building neural nets to play games? Yes! Count me interested.
- cl42 3y agohaha yes, that's it. Shoot me a note at hello <at> phaseai <dot> com and I'd love to connect!
- Slix 3y agoOpenAI Gym looks incredibly interesting. Aren't those games supposed to be solved using neural nets?
- cl42 3y agoSort of, yes! Not "solved" in the academic sense of actually finding the mathematically correct/ideal way to play, but rather using neural nets to learn to play and beat humans.
- tanvirulhuda 3y agoOh, I'm interested!
- Slix 3y agoI'm running through Andrew Ng's "Machine Learning Specialization" course on Coursera right now. I plan to do his "Deep Learning Specialization" immediately after. There's not a lot of formulas and math so far, which concerns me because I eventually want to understand papers.
- hkab 3y agoIMO, this is the best course to start with. It has everything you need from theory to pratical code. Very high quality stuff.
- aydio 3y agoCan anyone recommend similar content but for classical machine learning? Would you even consider it a prerequisite for understanding Deep Learning?