Anri-Lombard/Deep-Learning-NYU
Deep Learning Course instructed by Yann LeCun and Alfredo Canziani
This is a comprehensive collection of notes and practical exercises from a Deep Learning course, covering fundamental concepts to advanced architectures like Convolutional Neural Networks (CNNs) and Generative Adversarial Networks (GANs). It provides structured learning material, helping you grasp the core principles and apply them to real-world problems. The resource is ideal for anyone looking to understand and implement deep learning techniques.
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Use this if you are a student, researcher, or practitioner seeking a structured, in-depth curriculum to learn deep learning from foundational theories to practical applications.
Not ideal if you are looking for a plug-and-play software tool or an API client rather than educational content and practical learning exercises.
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Nov 30, 2022
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