torchbearer
0.1.5
Notes
Using the Metric API
Default Keys
Metric Decorators
Lambda Metrics
Metric Output - to_dict
Data Flow - The Metric Tree
Examples
Quickstart Guide
Defining the Model
Training on Cifar10
Source Code
Training a Variational Auto-Encoder
Defining the Model
Defining the Data
Defining the Loss
PyTorch method
Using Torchbearer State
Visualising Results
Training the Model
Source Code
Training a GAN
Data and Constants
Model
Loss
Metrics
Training
Visualising
Source Code
Optimising functions
The Model
The Loss
Optimising
Viewing Progress
Package Reference
torchbearer
torchbearer.callbacks
Model Checkpointers
Logging
Tensorboard
Early Stopping
Gradient Clipping
Learning Rate Schedulers
Weight Decay
Decorators
torchbearer.metrics
Base Classes
Decorators - The Decorator API
Metric Wrappers
Metric Aggregators
Base Metrics
torchbearer
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v: 0.1.5
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