Apache MXNet

Apache MXNet’s module API is like a FeedForward model and it is easier to compose similar to Torch module. It consists of following classes − BaseModule([logger]) It represents the base…

In this chapter, we will learn about an interface in MXNet which is termed a Symbol. Mxnet.ndarray Apache MXNet’s Symbol API is an interface for symbolic programming. Symbol API features…

This chapter deals with the autograd and initializer API in MXNet. mxnet.autograd This is MXNet’ autograd API for NDArray. It has the following class − Class: Function() It is used…

As we have already discussed in previous chapters, MXNet Gluon provides a clear, concise, and simple API for DL projects. It enables Apache MXNet to prototype, build, and train DL…

This chapter explains the ndarray library which is available in Apache MXNet. Mxnet.ndarray Apache MXNet’s NDArray library defines the core DS (data structures) for all the mathematical computations. Two fundamental…

This chapter deals with the python packages KVStore and visualization. KVStore package KV stores stands for Key-Value store. It is critical component used for multi-device training. It is important because,…

Another most important MXNet Python package is Gluon. In this chapter, we will be discussing this package. Gluon provides a clear, concise, and simple API for DL projects. It enables…

In this chapter, we will be discussing MXNet’s multi-dimensional array format called ndarray. Handling data with NDArray First, we are going see how we can handle data with NDArray. Following are…

In this chapter, we will learn about the Python Packages available in Apache MXNet. Important MXNet Python packages MXNet has the following important Python packages which we will be discussing…

This chapter is about distributed training in Apache MXNet. Let us start by understanding what are the modes of computation in MXNet. Modes of Computation MXNet, a multi-language ML library,…