The tool utilizes state-of-the-art Dreambooth technology, which is an open-source deep learning generation model developed in 2022 that allows users to train AI models on their own photos to generate any type of image they desire. See yourself as never before with AI. No Strings Attached. Make a One-Time Payment Starting at Just $11.99. No Subscriptions.
Based on our record, Neural Networks and Deep Learning seems to be a lot more popular than TheDream.AI. While we know about 44 links to Neural Networks and Deep Learning, we've tracked only 1 mention of TheDream.AI. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
I checked thedream.ai, but its expensive and also looks like it can convert only to limited options. Source: about 1 year ago
For neural network theory, I'm very fond of http://neuralnetworksanddeeplearning.com, but you'll need calculus and some linear algebra to understand it. Source: 6 months ago
Alternatively, building them from scratch in numpy is definitely possible and an excellent way to learn the fundamentals. It will take some time though (debugging issues with a hand-rolled LSTM is very, very painful). There's a zillion tutorials/books out there (I think I started with http://neuralnetworksanddeeplearning.com). Source: 7 months ago
- http://neuralnetworksanddeeplearning.com/ The Watch the Caltech telecourse. - Source: Hacker News / 10 months ago
Neural Networks and Deep Learning, a free online book. http://neuralnetworksanddeeplearning.com/. - Source: Hacker News / 11 months ago
Many years ago I was studying deep learning using this resource: * http://neuralnetworksanddeeplearning.com/ I decided to try to implement everything from scratch in Elixir (after initially doing all the math with pen and paper on a trivial example to get the feel of it). Obviously pure elixir was extremely slow, so I started creating NIFs to pass over matrix multiplication to OpenBLAS. Then I was thinking more... - Source: Hacker News / about 1 year ago
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