Implementation of Conditional Generative Adversarial Nets with PyTorch.
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May 28, 2022 - Python
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mnist-datasets
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This repository contains various jupyter pages written by me working on the MNIST datasets for my course Pattern Recognition. It uses different learning methods such as Support Vector Machines, Neural Networks, Generative Models, Probabilistic Graphic Models and Linear Discriminant functions. It uses keras and tensorflow for most of the codes.
pattern-recognition support-vector-machines mnist-datasets probabilistic-graphic-models linear-discriminant-functions
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Jul 3, 2020 - Jupyter Notebook
Implementation of digit recognition using the MNIST dataset. Train a model on grayscale handwritten digit images to accurately classify and predict numerical values of unseen digits.
machine-learning deep-learning tensorflow image-processing cnn image-classification digit-recognition grayscale-images handwritten model-training mnist-datasets numerical-prediction
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Apr 28, 2023 - Jupyter Notebook
Implementing Hand Written Digit Recognition using MNIST Datasets with the help of Tensor-Flow. It does the classification with 99% of accuracy without using the fixed number of epochs. It stops training when required level of accuracy is achieved.
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Jun 4, 2020 - Python
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