mxnet

MXNet: a concise, fast and flexible framework for deep learning.

mxnet.attribute

Attribute scoping support for symbolic API.

mxnet.autograd

Autograd for NDArray.

mxnet.base

ctypes library of mxnet and helper functions.

mxnet.callback

Callback functions that can be used to track various status during epoch.

mxnet.context

Context management API of mxnet.

mxnet.contrib

Experimental contributions

mxnet.engine

Engine properties management.

mxnet.executor

Symbolic Executor component of MXNet.

mxnet.executor_manager

Executor manager.

mxnet.gluon

Neural network module.

mxnet.image

Image Iterators and image augmentation functions

mxnet.initializer

Weight initializer.

mxnet.io

Data iterators for common data formats and utility functions.

mxnet.kvstore

Key-value store for distributed communication

mxnet.kvstore_server

mxnet.libinfo

Information about mxnet.

mxnet.runtime

Runtime querying of compile time features in the native library.

mxnet.lr_scheduler

Scheduling learning rate.

mxnet.log

Logging utilities.

mxnet.metric

Online evaluation metric module.

mxnet.model

MXNet model module

mxnet.module

A module is like a FeedForward model.

mxnet.monitor

Monitor outputs, weights, and gradients for debugging.

mxnet.name

Automatic naming support for symbolic API.

mxnet.ndarray

NDArray API of MXNet.

mxnet.notebook

MXNet notebook: an easy to use visualization platform

mxnet.operator

numpy interface for operators.

mxnet.optimizer

Optimizer API of MXNet.

mxnet.profiler

Profiler setting methods.

mxnet.random

Random number interface of MXNet.

mxnet.recordio

Read and write for the RecordIO data format.

mxnet.registry

Registry for serializable objects.

mxnet.rtc

Interface to runtime cuda kernel compile module.

mxnet.symbol

Symbol API of MXNet.

mxnet.test_utils

Tools for testing.

mxnet.torch

Interface for NDArray functions executed by torch backend.

mxnet.util

general utility functions

mxnet.visualization

Visualization module