数学:Mathematics

python

Overview of Post-training Quantization and Examples of Algorithms and Implementations

Overview of Post-training Quantization Post-training quantization is a method of quantizing a model after th...
python

Overview of the Ornstein-Uhlenbeck process, its algorithm, and an example implementation

Overview of Ornstein-Uhlenbeck process The Ornstein-Uhlenbeck process is a type of stochastic process that can ...
python

Limited-memory Broyden-Fletcher-Goldfarb-Shanno (L-BFGS) method

Overview of Limited-memory Broyden–Fletcher–Goldfarb–Shanno(L-BFGS)method The Limited-memory Broyden-Fletcher-G...
グラフ理論

What is information geometry?

What is the essence of information geometry? Information geometry is a field that studies the geometrical struc...
python

Overview of GraphRNN, algorithms and implementation examples

Overview of GraphRNN GraphRNN is a deep learning model that specialises in graph generation and is particu...
アルゴリズム:Algorithms

The vanishing gradient problem and its countermeasures

Overview of vanishing gradient problem The Vanishing Gradient Problem is one of the problems that occurs mainly...
python

Overview of GNN-based recommendation techniques and related algorithms and implementation examples.

Overview of GNN-based recommendation technology Graphs are expressive and powerful data structures that ar...
python

Newton-Raphson Method

Overview of Newton-Raphson Method The Newton-Raphson Method is one of the iterative methods for numerical solut...
python

UMAP (Uniform Manifold Approximation and Projection)

UMAP (Uniform Manifold Approximation and Projection) UMAP is a nonlinear dimensionality reduction method for hi...
python

Overview of services that model each stage of the manufacturing process using GNNs to optimise the design and operation of production lines.

Overview of services that model each stage of the manufacturing process using GNNs to optimise the design a...
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