neural-network-architectures

Participants in this Specialization have the opportunity to construct and train various neural network architectures, including Convolutional Neural Networks, Recurrent Neural Networks, LSTMs, and Transformers. They learn to enhance these networks with techniques such as Dropout, BatchNorm, Xavier/He initialization, among others.

python natural-language-processing tensorflow decision-making python-programming facial-recognition artificial-neural-networks deeplearning convolutional-neural-networks object-detection backpropagation neural hyperparameter-tuning multi-task-learning long-short-term-memory recurrent-neural-network neural-network-architectures gated-recurrent-unit attention-models inductive-transfer

Updated Jan 12, 2024
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saravanabalagi / protonn

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Neural Network Prototyping library with reactive interface and export code features

visualization react-redux visualizer prototyping neural-networks neural-network-architectures neural-networks-from-scratch export-code

Updated Apr 11, 2019
JavaScript

Navy10021 / Harbor_Logistics_prediction

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Transformers-based Neural Network harbor logistic prediction model

deep-learning time-series-prediction neural-network-architectures bigdata-analysis transformers-models

Updated Aug 2, 2023
Python

ml4jarchive / neural-network-architectures

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Neural Network Architecture definition files

neural-network yolov2 inceptionv4 inceptionnet neural-network-architectures inception-v4

Updated Feb 24, 2023
Java

raklugrin01 / Neural-Networks-DeepLearning

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Programming Assignments completed under first Course of Deep Learning Specialisation(Coursera)

python deep-learning artificial-neural-networks backpropagation neural-network-architectures

Updated Jul 8, 2021
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eren23 / nn-architecture-examples

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A small collection of basic neural networks for different tasks using pytorch.

deep-neural-networks neural-network pytorch neural-networks neural-network-example neural-network-tutorials neural-network-architectures neural-networks-from-scratch pytorch-implementation

Updated Jul 2, 2023
Python

FardinHash / NeuralNetwork-Architechtures-Implementation

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Many Neural Network architectures are there. Basically Keras applications. You can find here the structures, implementations all you need. Have fun!

machine-learning deep-learning neural-network keras nn cnn convolutional-neural-networks keras-neural-networks neuralnetwork neural-network-architectures keras-application

Updated Jan 18, 2023
Python

shahab-ghafoor / Siamese-Network-with-Triplet-Loss-in-Keras

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The project implements Siamese Network with Triplet Loss in Keras to learn meaningful image representations in a lower-dimensional space. By training on the MNIST dataset, it creates a powerful architecture and implements Triplet Loss function. The resulting model enables applications like image search, recommendation systems, and image clustering.

mnist-dataset triplet-loss neural-network-architectures siamese-networks image-representation-learning-mnist-dataset deep-learning-with-keras

Updated Feb 24, 2024
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estephaniapa / Fundamentos_Redes_Neuronales

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Proyecto individual sobre los fundamentos matemáticos de las redes neuronales. Desarrollado durante los cursos propedéuticos de admisión a la Maestría en Ciencias de Datos de la Universidad de Sonora.

mathematics neural-networks feedforward-neural-network neural-network-architectures