python Overview of Quantization-Aware Training and Examples of Algorithms and Implementations
Quantization-Aware Training Overview
Quantization-Aware Training (QAT) is a training method for effectively ...
プログラミング言語:Programming Language
python python Overview of Forward Inference in Bayesian Networks
Overview of Forward Inference in Bayesian Networks
Forward Inference in Bayesian networks (Forward Inferen...
python The modified Newton method
Overview of Modified Newton Method
The Modified Newton Method is an algorithm developed to improve the regular ...
python t-SNE (t-distributed Stochastic Neighbor Embedding)
t-SNE (t-distributed Stochastic Neighbor Embedding)
t-SNE is one of the nonlinear dimensionality reduction algo...
python Overview of services that use GNNs to model product characteristics and functions and predict market response and demand fluctuations
Overview
The service on modelling product characteristics and functions and predicting market reactions an...
python Inference algorithms for Bayesian networks
Inference algorithms for Bayesian networks
Bayesian network inference is the process of finding the poster...
python Overview of Urban Intelligence using Graph Neural Networks and related algorithms and implementation examples.
Overview of Urban Intelligence using Graph Neural Networks.
Urban intelligence is a technology and concept...
python Noise Contrastive Estimation (NCE) overview, algorithms and implementation examples.
Overview of Noise Contrastive Estimation (NCE)
Noise Contrastive Estimation (NCE) is a method for estim...
python Overview of DeepPrompt and its use
Overview of DeepPrompt.
DeepPrompt is one of OpenAI's programming support tools that uses natural language p...
python Overview of UCT (Upper Confidence Bounds for Trees), its algorithm and examples of implementation
Overview of UCT (Upper Confidence Bounds for Trees)
Upper Confidence Bounds for Trees (UCT) is an algorithm us...