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autoencoderscompression

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xxl4tomxu98 / autoencoder-feature-extraction

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Use auto encoder feature extraction to facilitate classification model prediction accuracy using gradient boosting models

gradient-boosting-machine convolutional-autoencoder sequence-to-sequence variational-autoencoders autoencoder-neural-network autoencoder-classification autoencoderscompression xgboost-classifier light-gradient-boosting-machine autoencoder-denoising autoencoder-latent-layer histgram-gradient-boosting
  • Updated Apr 14, 2023
  • Jupyter Notebook

AdityaTheDev / ReconstructionOfImage-Using-DeepAutoEnccoders

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Autoencoder is a type of neural network where the output layer has the same dimensionality as the input layer. In simpler words, the number of output units in the output layer is equal to the number of input units in the input layer. An autoencoder replicates the data from the input to the output in an unsupervised manner and is therefore someti…

machine-learning image-processing autoencoder deeplearning convolutional-neural-networks autoencoders encoder-decoder imagecompression autoencoder-architecture autoencoder-neural-network autoencoderscompression
  • Updated Sep 26, 2021
  • Jupyter Notebook

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