The PyTorch Channel

Tutorial 19: Train a sentiment analysis model using Embedding and RNN

Tutorial 18: Train a GRU/LSTM model using the MNIST dataset

Tutorial 17: Train an RNN model using the MNIST dataset We consider each image as a sequence of lines. Each line has 28 pixels.

Tutorial 16: Use word embedding in NLP

Tutorial 15: Train a sentiment analysis model based on Bag-of-Words

Tutorial 14: Train a ResNet22 Using the CIFAR10 dataset

Tutorial 13: Train another CNN using the CIFAR10 dataset

Tutorial 12: Plot the history of the training process

Tutorial 11: Image classification using CNN: A case study on CIFAR10

Tutorial 10: Train a Deep Neural Network using GPU

Handwritten digit image classification using using a deep neural network model

Tutorial 8: Handwritten digit image classification using a logistic regression model

Tutorial 7: Train a logistic regression model by mini-batches

Tutorial 6: Train a logistic regression model from a CSV file

Tutorial 5: How to read a CSV file in Python

Tutorial 3: how to train a liear regression model using nn.Linear()

Tutorial 4: Train a logistic regression model

Tutorial 2: Train a linear regression model using the SGD optimizer

Tutorial 1: Train a simple linear regression model