There are many different
use
cases
for PyTorch can solve, a few of them are:
PyTorch is widely used for
training
and
deploying
deep learning models, such as CNN and RNN.
Training and deploying models
PyTorch is often used for
NLP
tasks, such as language translation, text classification, and sentiment analysis
NLP
PyTorch is commonly used for
computer
vision
tasks, such as image and video classification, and object detection
Computer vision
PyTorch's dynamic
computational
graph makes it well-suited for adversarial training.
Adversarial training
PyTorch is often used to train generative models, such as VAE GAN,which can be used to synthesize new data samples.
Generative models
Everything you need to know about deep learning