haroontrailblazer/Deep_Learning
A curated collection of deep learning programs, from foundational algorithms to cutting-edge architectures. Dive into hands-on implementations of KNN, PCA, DNNs, CNNs, and LSTMs — built with clarity, visualizations, and reusable templates. Perfect for learners, tinkerers, and interview preppers who want to master machine learning workflows the righ
This collection helps you understand and implement fundamental and advanced deep learning models like CNNs and LSTMs. You'll get clear, hands-on examples that show how these algorithms work, taking raw data through to trained models. It's designed for anyone learning deep learning, preparing for technical interviews, or looking to solidify their understanding of machine learning workflows.
Use this if you want practical, step-by-step examples to learn, practice, or review deep learning algorithms from the ground up.
Not ideal if you're looking for a high-level library to quickly apply pre-built models without understanding their internal mechanics.
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Last pushed
Dec 14, 2025
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