Deep-learning by using Pytorch. Basic nns like Logistic, CNN, RNN, LSTM and some examples are implemented by complex model.
Explore basic and advanced deep learning techniques using Pytorch with simple examples and models.
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytimeDeep-learning by using Pytorch. Basic nns like Logistic, CNN, RNN, LSTM and some examples are implemented by complex model.
torch-light has 538 stars on GitHub. It has been forked 195 times. torch-light is written mainly in Python. It has been in active development since 2017. torch-light is available under the MIT license. Its main topics are deep-learning, pytorch, reinforcement-learning.
Deep-learning by using Pytorch. Basic nns like Logistic, CNN, RNN, LSTM and some examples are implemented by complex model.
torch-light is an open-source project. It is released under the MIT license.
Yes. torch-light is free and open source — you can use, modify and self-host it.
torch-light is available under the MIT license.
torch-light is written mainly in Python.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/ne7ermore-torch-light.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.