Deep neural networks

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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.

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tensorflow /tensorflow

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An Open Source Machine Learning Framework for Everyone

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deepfakes /faceswap

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Deepfakes Software For All

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terryum /awesome-deep-learning-papers

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The most cited deep learning papers

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UpdatedJan 18, 2024
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HarisIqbal88 /PlotNeuralNet

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Latex code for making neural networks diagrams

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AlexeyAB /darknet

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spmallick /learnopencv

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Learn OpenCV : C++ and Python Examples

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onnx /onnx

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Open standard for machine learning interoperability

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iperov /DeepFaceLab

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DeepFaceLab is the leading software for creating deepfakes.

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microsoft /CNTK

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Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit

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ujjwalkarn /Machine-Learning-Tutorials

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machine learning and deep learning tutorials, articles and other resources

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alphacep /vosk-api

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Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node

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kmario23 /deep-learning-drizzle

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Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

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tonybeltramelli /pix2code

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ritchieng /the-incredible-pytorch

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hoya012 /deep_learning_object_detection

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alexjc /neural-doodle

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