Search results for "dist:AI-MXNet AI"
AI::MXNet - Perl interface to MXNet machine learning library
Perl interface to MXNet machine learning library. MXNet supports the Perl programming language. The MXNet Perl package brings flexible and efficient GPU computing and state-of-art deep learning to Perl. It enables you to write seamless tensor/matrix ...
SKOLYCHEV/AI-MXNet-1.6 - 23 Jun 2023 16:35:58 UTC
AI::MXNet::IO - Data loading interface of MXNet
This document summarizes supported data formats and iterator APIs to read the data including mx->io Data iterators for common data formats. mx->recordio Data iterators for the RecordIO data format. mx->image Image Iterators and image augmentation fun...
SKOLYCHEV/AI-MXNet-1.6 - 23 Jun 2023 16:35:58 UTC
AI::MXNet::RNN - Functions for constructing recurrent neural networks.
Functions for constructing recurrent neural networks....
SKOLYCHEV/AI-MXNet-1.6 - 23 Jun 2023 16:35:58 UTC
AI::MXNet::Gluon - High-level interface for MXNet.
The AI::MXNet::Gluon package is a high-level interface for MXNet designed to be easy to use, while keeping most of the flexibility of a low level API. AI::MXNet::Gluon supports both imperative and symbolic programming, making it easy to train complex...
SKOLYCHEV/AI-MXNet-1.6 - 23 Jun 2023 16:35:58 UTC
AI::MXNet::Image - Read individual image files and perform augmentations.
Image data iterator with a large number of augumentation choices. Supports reading from both .rec files and raw image files with image list. To load from .rec files, please specify path_imgrec. Also specify path_imgidx to use data partition (for dist...
SKOLYCHEV/AI-MXNet-1.6 - 23 Jun 2023 16:35:58 UTC
AI::MXNet::Random - Handling of randomization in MXNet.
Handling of randomization in MXNet....
SKOLYCHEV/AI-MXNet-1.6 - 23 Jun 2023 16:35:58 UTC
AI::MXNet::LinAlg - Linear Algebra routines for NDArray and Symbol.
The Linear Algebra API, provides imperative/symbolic linear algebra tensor operations on CPU/GPU. mx->linalg-><sym|nd>->gemm Performs general matrix multiplication and accumulation. mx->linalg-><sym|nd>->gemm2 Performs general matrix multiplication. ...
SKOLYCHEV/AI-MXNet-1.6 - 23 Jun 2023 16:35:58 UTC
AI::MXNet::Metric - Evaluation Metric API.
This module hosts all the evaluation metrics available to evaluate the performance of a learned model. Python Docs <https://mxnet.apache.org/api/python/metric/metric.html>...
SKOLYCHEV/AI-MXNet-1.6 - 23 Jun 2023 16:35:58 UTC
AI::MXNet::Module - FeedForward interface of MXNet. See AI::MXNet::Module::Base for the details.
SKOLYCHEV/AI-MXNet-1.6
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23 Jun 2023 16:35:58 UTC
AI::MXNet::Engine - Allows management of properties of the MXNet's engine.
SKOLYCHEV/AI-MXNet-1.6
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23 Jun 2023 16:35:58 UTC
AI::MXNet::KVStore - Key value store interface of MXNet.
Key value store interface of MXNet for parameter synchronization, over multiple devices....
SKOLYCHEV/AI-MXNet-1.6 - 23 Jun 2023 16:35:58 UTC
AI::MXNet::Monitor - Monitor outputs, weights, and gradients for debugging.
Monitor outputs, weights, and gradients for debugging. Parameters ---------- interval : Int Number of batches between printing. stat_func : CodeRef a function that computes statistics of tensors. Takes a NDArray and returns a NDArray. defaults to mea...
SKOLYCHEV/AI-MXNet-1.6 - 23 Jun 2023 16:35:58 UTC
AI::MXNet::NDArray - Multidimensional tensor object of MXNet.
AI::MXNet::NDArray - Imperative tensor operations on CPU/GPU In AI::MXNet, NDArray is the core data structure for all mathematical computations. An NDArray represents a multidimensional, fixed-size homogenous array. If you're familiar with the PDL, y...
SKOLYCHEV/AI-MXNet-1.6 - 23 Jun 2023 16:35:58 UTC
AI::MXNet::Contrib - An interface to experimental operators defined in C++ space.
SKOLYCHEV/AI-MXNet-1.6
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23 Jun 2023 16:35:58 UTC
AI::MXNet::RNN::IO - Functions for constructing recurrent neural networks.
Functions for constructing recurrent neural networks....
SKOLYCHEV/AI-MXNet-1.6 - 23 Jun 2023 16:35:58 UTC
AI::MXNet::Context - A device context.
This class governs the device context of AI::MXNet::NDArray objects....
SKOLYCHEV/AI-MXNet-1.6 - 23 Jun 2023 16:35:58 UTC
AI::MXNet::RunTime - Runtime querying of compile time features in the native library.
With this module you can check at runtime which libraries and features were compiled in the library. Example usage: use AI::MXNet qw(mx); my $features = mx->runtime->Features(); print $features->is_enabled("CUDNN"); 0 print $features->is_enabled("CPU...
SKOLYCHEV/AI-MXNet-1.6 - 23 Jun 2023 16:35:58 UTC
AI::MXNet::AutoGrad - Autograd for NDArray.
Auto gradients differentiation for dynamic graphs, primarily used with Gluon....
SKOLYCHEV/AI-MXNet-1.6 - 23 Jun 2023 16:35:58 UTC