Search results for "dist:AI-MXNet Symbol"
AI::MXNet::Symbol::Base
A convenience class that loads all C++ symbol related functions at runtime....
SKOLYCHEV/AI-MXNet-1.6 - 23 Jun 2023 16:35:58 UTC
AI::MXNet::Contrib::Symbol - An interface to experimental symbol operators defined in C++ space.
SKOLYCHEV/AI-MXNet-1.6
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23 Jun 2023 16:35:58 UTC
AI::MXNet::Symbol::AttrScope - Attribute manager for local scoping.
Attribute manager for scoping. User can also inherit this object to change naming behavior. Parameters ---------- kwargs The attributes to set for all symbol creations in the scope....
SKOLYCHEV/AI-MXNet-1.6 - 23 Jun 2023 16:35:58 UTC
AI::MXNet::Symbol::NameManager - Automated symbol naming.
NameManager that does an automatic naming. A user can also inherit this object to change the naming behavior....
SKOLYCHEV/AI-MXNet-1.6 - 23 Jun 2023 16:35:58 UTC
AI::MXNet::Gluon::SymbolBlock - Construct block from symbol.
Construct block from symbol. This is useful for using pre-trained models as feature extractors. For example, you may want to extract get the output from fc2 layer in AlexNet. Parameters ---------- outputs : Symbol or list of Symbol The desired output...
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 - 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::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::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::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::Executor - The actual executing object of MXNet.
SKOLYCHEV/AI-MXNet-1.6
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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
AI::MXNet::Callback - A collection of predefined callback functions.
A collection of predefined callback functions, mainly to be used in AI::MXNet::Module::Base::fit....
SKOLYCHEV/AI-MXNet-1.6 - 23 Jun 2023 16:35:58 UTC
AI::MXNet::InitDesc - A container for the initialization pattern serialization.
The base class AI::MXNet::Initializer defines the default behaviors to initialize various parameters, such as set bias to 1, except for the weight. Other classes then define how to initialize the weights. Currently following classes are available: mx...
SKOLYCHEV/AI-MXNet-1.6 - 23 Jun 2023 16:35:58 UTC