SBU-CE/Deep-Learning
SBU Deep Learning Course Materials and Codes
This repository provides comprehensive course materials and code examples for learning deep learning concepts and their practical applications. It includes tutorials on Python, data manipulation with Numpy and Pandas, machine learning with Scikit-learn, and deep learning frameworks like PyTorch, covering topics such as Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs). Graduate students and self-learners aspiring to understand and implement deep learning models would find this valuable.
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Use this if you are a graduate student or an independent learner looking for structured course content to grasp the fundamentals and applications of deep learning.
Not ideal if you are looking for a plug-and-play deep learning solution for a specific business problem without needing to understand the underlying theory and implementation details.
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Jupyter Notebook
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Nov 16, 2022
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