torchbearer
0.5.0
Notes
Using DistributedDataParallel with Torchbearer on CPU
Setup, Cleanup and Model
Sync Methods
Worker Function
Running
Running on machines with GPUs
Source Code
Using the Metric API
Default Keys
Metric Decorators
Lambda Metrics
Metric Output - to_dict
Data Flow - The Metric Tree
Using the Tensorboard Callback
Setup
Logging the Model Graph
Logging Batch Metrics
Logging Epoch Metrics
Source Code
Logging to Visdom
Model Setup
Logging Epoch and Batch Metrics
Visdom Client Parameters
Source Code
Examples
Notebooks List
General
Deep Learning
Differentiable Programming
Package Reference
torchbearer
Trial
Batch Loaders
Misc
State
State
Key List
Utilities
torchbearer.callbacks
Base Classes
Imaging
Main Classes
Deep Inside Convolutional Networks
Model Checkpointers
Logging
Tensorboard, Visdom and Others
Early Stopping
Gradient Clipping
Learning Rate Schedulers
Learning Rate Finders
Weight Decay
Weight / Bias Initialisation
Regularisers
Unpack State
Decorators
Main
Utility
torchbearer.metrics
Base Classes
Decorators - The Decorator API
Metric Wrappers
Metric Aggregators
Base Metrics
Timer
torchbearer
Docs
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Welcome to torchbearer’s documentation!
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Welcome to torchbearer’s documentation!
¶
Notes
Using DistributedDataParallel with Torchbearer on CPU
Using the Metric API
Using the Tensorboard Callback
Logging to Visdom
Examples
Notebooks List
General
Deep Learning
Differentiable Programming
Package Reference
torchbearer
torchbearer.callbacks
torchbearer.metrics
Indices and tables
¶
Index
Module Index
Search Page
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