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Deep neural networks
Deep neural networks (DNNs) are a class of artificial neural networks (ANNs) that are deep in the sense that they have many layers of hidden units between the input and output layers. Deep neural networks are a type of deep learning, which is a type of machine learning. Deep neural networks are used in a variety of applications, including speech recognition, computer vision, and natural language processing. Deep neural networks are used in a variety of applications, including speech recognition, computer vision, and natural language processing.
- GitHub: https://github.com/topics/deep-neural-networks
- Wikipedia: https://en.wikipedia.org/wiki/Deep_neural_networks
- Aliases: deep-neural-network,
- Last updated: 2025-01-16 00:07:31 UTC
- JSON Representation
https://github.com/kanishknavale/training_don_a_novel_approach
Repository for research paper "Training Dense Object Nets: A Novel Approach"
computer-vision deep-neural-networks dense-object-nets image-correspondences image-dataset image-processing keypointnet pytorch pytorch-lightning synthetic-augmentation synthetic-dataset-generation
Last synced: 06 Jan 2025
https://github.com/tiennhm/artist-style-transfer-cyclegan
Implement Artist Style Transfer using CycleGAN
ai artistic-style-transfer cyclegan deep-learning deep-neural-networks dl gan generative-adversarial-network
Last synced: 29 Nov 2024
https://github.com/justanhduc/cyclegan
A Theano implementation of Cycle GAN
deep-learning deep-neural-networks gan generative-adversarial-network python theano
Last synced: 02 Jan 2025
https://github.com/amirjahantab/deep-ml-solutions
ML Code Challenges
ai algorithms backpropagation data-science deep-learning-algorithms deep-neural-networks linear-algebra machine-learning machine-learning-algorithms mathematics matrix numpy pca python
Last synced: 11 Jan 2025
https://github.com/chaitanyak77/optimal-detection-of-diabetic-retinopathy-severity-using-attention-based-cnn-and-vision-transformers
This repository contains the implementation of a hybrid model combining Attention-Based Convolutional Neural Networks (CNNs) and Vision Transformers (ViT) to classify the severity levels of diabetic retinopathy.
cnn-classification deep-neural-networks diabetic-retinopathy-detection image-processing transformers vision-transformer
Last synced: 16 Jan 2025
https://github.com/wa-lead/virtual_screnning_using_cnns
Using Chemception to predict the activity of molecules against aid_686978. Taking this further to visualize kernels decision process through Grad-CAM.
deep-neural-networks drug python tensorflow
Last synced: 28 Nov 2024