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


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