Colev2/Neural-Networks

Assignments on Neural Networks course at CSD AUTH

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This collection of assignments provides practical examples of implementing neural network models. It covers fundamental architectures like Convolutional Neural Networks (CNNs), Support Vector Machines (SVMs), Radial Basis Function (RBF) networks, and autoencoders. Students and practitioners learning about deep learning can use these implementations as educational resources or starting points for their own model development.

Use this if you are a student or educator looking for practical code examples for common neural network assignments in a university computer science curriculum.

Not ideal if you need a production-ready deep learning library or a tool for advanced, cutting-edge research.

deep-learning-education neural-networks-practice computer-science-curriculum machine-learning-assignments

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