自动微分

Train a twin neural network with shared weights to compare handwritten digits using dimensionality reduction.

Train a twin neural network with shared weights to identify similar images of handwritten characters.

Train a deep learning model for image captioning using attention.

Classify text data that has multiple independent labels.

Convert decimal strings to Roman numerals using a recurrent sequence-to-sequence encoder-decoder model with attention.

Set up a custom training loop to train a network in parallel.

此示例说明如何训练深度学习变分自编码器 (VAE) 来生成图像。

Train a network to classify images of objects using a cyclical learning rate schedule and snapshot ensembling for better test accuracy. In the example, you learn how to use a cosine function for the learning rate schedule, take snapshots of the network during training to create a model ensemble, and add L2-norm regularization (weight decay) to the training loss.

Train a Bayesian neural network (BNN) for image regression using Bayes by Backpropagation.