GitHub - alejo-gonzalez-garcia/Deep-Autoencoder-based-on-Dense-Neural-Networks: In this project we have developed a Deep Autoencoder using Dense Neural Networks to perform dimensionality reduction on MNIST and FMNIST datasets. The project includes training, saving, and evaluating models using PyTorch. Utilized the Weight & Biases library for monitoring and comparison of model performance

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In this project we have developed a Deep Autoencoder using Dense Neural Networks to perform dimensionality reduction on MNIST and FMNIST datasets. The project includes training, saving, and evaluating models using PyTorch. Utilized the Weight & Biases library for monitoring and comparison of model performance

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Project I-Deep Autoencoder based on Dense Neural Networks over MNIST and FMNIST databases.ipynb		Project I-Deep Autoencoder based on Dense Neural Networks over MNIST and FMNIST databases.ipynb