🧠
AI
search
Ctrlk
  • Artificial Intelligence
  • Intuitive Maths behind AIchevron-right
  • Overview
  • Cool Reading list
  • Research Ideas and Philosophy
  • Basic Principles
  • Information Theorychevron-right
  • Probability & Statisticschevron-right
  • Linear Algebrachevron-right
  • Optimizationchevron-right
  • Statistical Learning Theorychevron-right
  • Machine Learningchevron-right
  • Deep Learningchevron-right
  • Bayesian Deep Learningchevron-right
  • Reinforcement Learningchevron-right
  • Transformerschevron-right
  • LLMschevron-right
  • SSL, ViT, Latest vision learning springchevron-right
  • Diffusion Modelschevron-right
  • Distributed Training
  • State Space Models
  • RLHF
  • Roboticschevron-right
  • Game Theory and MLchevron-right
  • Continual Learningchevron-right
  • Computer Visionchevron-right
  • Paperschevron-right
  • Deep Learning Bookchevron-right
  • Project Euler
  • Pythonchevron-right
  • Computer Science
  • TensorFlow
  • Pytorchchevron-right
    • RNN/LSTM in Pytorch
    • Dataset/ Data loader
    • Resuming/Loading Saved model
  • Programmingchevron-right
  • General Software Engineeringchevron-right
  • How To Do Research
  • Resources
  • ROS for python3
  • Kitti
gitbookPowered by GitBook
block-quoteOn this pagechevron-down
  1. Pytorch

RNN/LSTM in Pytorch

hashtag
What are input/outputs for an RNN/LSTM:

LogoSequence Models and Long Short-Term Memory Networks — PyTorch Tutorials 2.10.0+cu130 documentationpytorch.orgchevron-right
LogoBuilding RNNs is Fun with PyTorch and Google ColabMediumchevron-right

hashtag
How to do backpropagation through time.

LogoCorrect way to do backpropagation through time?PyTorch Forumschevron-right
LogoPyTorch - RuntimeError: Trying to backward through the graph a second time, but the buffers have already been freedStack Overflowchevron-right

PreviousPytorchchevron-leftNextDataset/ Data loaderchevron-right

Last updated 5 years ago

  • What are input/outputs for an RNN/LSTM:
  • How to do backpropagation through time.