Prompt: Tinygrad, developed by George Hotz (geohot), is a streamlined autograd library inspired by Micrograd. It aims to provide a simple and powerful solution for implementing deep learning models. Tinygrad is designed to be hardware-agnostic and supports both inference and training. It offers a similar API to PyTorch but with a simpler and more refined approach. Despite its simplicity, Tinygrad supports full forward and backward passes with autodiff, making it suitable for various machine learning projects .
Prompt: Tinygrad, developed by George Hotz (geohot), is a streamlined autograd library inspired by Micrograd. It aims to provide a simple and powerful solution for implementing deep learning models. Tinygrad is designed to be hardware-agnostic and supports both inference and training. It offers a similar API to PyTorch but with a simpler and more refined approach. Despite its simplicity, Tinygrad supports full forward and backward passes with autodiff, making it suitable for various machine learning projects .
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Prompt:
Tinygrad, developed by George Hotz (geohot), is a streamlined autograd library inspired by Micrograd. It aims to provide a simple and powerful solution for implementing deep learning models. Tinygrad is designed to be hardware-agnostic and supports both inference and training. It offers a similar API to PyTorch but with a simpler and more refined approach. Despite its simplicity, Tinygrad supports full forward and backward passes with autodiff, making it suitable for various machine learning projects .
Dream Level: is increased each time when you "Go Deeper" into the dream. Each new level is harder to achieve and
takes more iterations than the one before.
Rare Deep Dream: is any dream which went deeper than level 6.
Deep Dream
You cannot go deeper into someone else's dream. You must create your own.
Deep Dream
Currently going deeper is available only for Deep Dreams.
Artist
