neural-network-architectures

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pouyaardehkhani / ActTensor

ActTensor: Activation Functions for TensorFlow. https://pypi.org/project/ActTensor-tf/ Authors: Pouya Ardehkhani, Pegah Ardehkhani

Updated May 4, 2024
Python

nemat-al / Architecture-of-Neural-Networks

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Tasks for Architecture of Neural Networks Course @ ITMO University

deep-learning pytorch gan dcgan neural-networks convolutional-neural-networks image-segmentation u-net neural-network-architectures neural-networks-from-scratch dcgan-pytorch

Updated Apr 19, 2024
Jupyter Notebook

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
Jupyter Notebook

mrodriguezsanz / DeepLearningAI-DeepLearningSpecialization

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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
Jupyter Notebook

kengz / torcharc

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TorchArc: Build PyTorch networks by specifying architectures.

deep-learning neural-network pytorch dag neural-architectures neural-network-architectures perceiver perceiverio

Updated Sep 28, 2023
Python

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

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

GSNCodes / Deep-Learning-Architectures

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My Implementation of well known DL architectures using PyTorch

python computer-vision deep-learning pytorch deeplearning computervision neural-network-architectures pytorch-implementation neural-network-from-scratch

Updated Jun 14, 2023
Python

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