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chouhlaoui / repository
A collection of deep learning projects in Jupyter Notebooks covering classification, regression, and time series forecasting using real-world datasets and neural network models. Each project demonstrates practical modelling, data preprocessing, evaluation, and insights generated from neural network‑based approaches.
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Shrinjita /
Welcome to my collection of deep learning lab experiments, organized as individual Jupyter notebooks. Each notebook delves into a specific deep learning concept, covering essential topics like classification, neural networks, autoencoders, transfer learning, recurrent neural networks, and generative models.
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