RanjeetKumbhar01/SPPU-BE-IT-DL-ASSIGNMENTS

BE IT (2019 Course) || 414447: Lab Practice IV

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This collection of assignments provides practical examples for students learning deep learning. It walks through building neural networks, image classifiers, anomaly detectors, and natural language processing models. Learners will input datasets like MNIST/CIFAR10 images or text, and output trained models capable of classification, detection, or understanding word relationships, along with performance evaluations. It is designed for students in an IT program studying deep learning.

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Use this if you are an IT student looking for guided, hands-on deep learning programming exercises to understand core concepts.

Not ideal if you are looking for a plug-and-play solution for a business problem or an advanced research project.

deep-learning-education neural-networks image-classification anomaly-detection natural-language-processing
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Jupyter Notebook

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MIT

Last pushed

Nov 22, 2024

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