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Topic: "vanilla-neural-network"

4imothy/clear_net

A framework for the creation and training of vanilla and convolutional neural nets only depending on a C compiler and standard library

Language: C - Size: 377 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 11 - Forks: 0

jElhamm/Hands-On-Graph-Neural-Networks-Using-Python

"This repository contains the implementation code for the book, which serves as a practical guide to understanding and applying Graph Neural Networks (GNNs) using Python."

Language: Jupyter Notebook - Size: 3.08 MB - Last synced at: about 1 month ago - Pushed at: 8 months ago - Stars: 1 - Forks: 0

SwikarGautam/DeepDenseNetwork

Fully connected neural network with Adam optimizer, L2 regularization, Batch normalization, and Dropout using only numpy

Language: Python - Size: 7.81 KB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 1

Related Topics
adam-optimizer 1 batch-normalization 1 dropout 1 l2-regularization 1 numpy 1 c 1 convolutional-neural-networks 1 machine-learning 1 anomaly-detection 1 deep-walk 1 gnn-model 1 graph-attention-networks 1 graph-convolutional-networks 1 graph-generation 1 graph-neural-network 1 graph-theory 1 hands-on-machine-learning 1 heterogeneous-graph 1 jupyter-notebook 1 link-prediction 1 node-representation 1 python 1 recommender-system 1 traffic-forecasting 1