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

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Updated Apr 11, 2019
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akshaykurmi / neural-networks-from-scratch

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Deep Learning Algorithms implemented from scratch using Numpy

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Updated Aug 25, 2019
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ml4jarchive / neural-network-architectures

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Neural Network Architecture definition files

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Updated Feb 24, 2023
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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.

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Updated Jun 10, 2023
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arpitj07 / Tensorflow

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Updated Feb 4, 2019
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matteo-stat / convmixer-patches-are-all-you-need

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A Keras implementation of the ConvMixer architecture from the paper "Patches are all you need?", built from scratch using TensorFlow and Python.

computer-vision tensorflow keras image-classification neural-network-architectures neural-networks-from-scratch convmixer

Updated Aug 19, 2024
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matteo-stat / multi-task-learning-object-detection-semantic-segmentation

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A multi task neural network implemented from scratch, performing object detection with SSD and semantic segmentation with DeeplabV3+ simultaneosly!

computer-vision tensorflow keras ssd object-detection image-segmentation semantic-segmentation single-shot-multibox-detector mobilenetv2 mobilenet-v2 deeplabv3 image-object-detection neural-network-architectures ssdlite deeplab-v3-plus neural-networks-from-scratch shufflenet-v2 shufflenetv2 single-shot-detector

Updated Aug 28, 2024
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GSNCodes / Deep-Learning-Architectures

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My Implementation of well known DL architectures using PyTorch

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Updated Jun 14, 2023
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TimKong21 / Deep-Learning-Specialization-

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Contains solutions and notes for the Deep Learning Specialization by Deeplearning.ai, Andrew Ng on Coursera

deep-learning tensorflow transformers recurrent-neural-networks artificial-neural-networks pyhton convolutional-neural-networks hyperparameter-tuning back-propagation neural-network-architectures mathematical-optimization inductive-transfer

Updated Oct 1, 2022
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jyoti0225 / Implementation-of-Neural-Network

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Contains the architecture of neural network in python (without using any framework)

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Updated Nov 26, 2020
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matteo-stat / mobilevit-a-mobile-friendly-vision-transformer

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A Keras implementation of the MobileViT architectures, built from scratch using TensorFlow and Python.

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Updated Aug 20, 2024
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SEE-DS / nnarch

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Major Neural Network Architectures - recurrent neural networks, convolutional neural networks, long-short-term-memory, autoencoders, recommender systems, artificial general intelligence

cnn recurrent-neural-networks lstm recommendation-system convolutional-neural-networks autoencoders lambda-school long-short-term-memory neural-network-architectures