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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/faisal-fida/nlp-classification-qna-for-beginners
Natural language processing (NLP) tasks: text classification and text generation. The notebooks explore different techniques and models for handling these tasks, offering insights into common challenges and solutions.
challenges deep-neural-networks nlp-machine-learning text-classification text-generation
Last synced: 08 Jan 2025
https://github.com/stupidcucumber/stablediffusion
A repository for fine-tuning StableDiffusion2.
deep-neural-networks diffusion-models generation python stable-diffusion text-to-image torch training
Last synced: 18 Nov 2024
https://github.com/debasish-dutta/handwritten-digit-classifier
A web-app based on a handwritten digit recognizer TF model and its neural network created from scratch and is deployed using a web-app with tensorflow.js
deep-neural-networks tensorboard-mnist-digit tensorflow2
Last synced: 18 Nov 2024
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