Towards AI

APRIL 7, 2024

Deep learning multiple– layer artificial neural networks are the basis of deep learning, a subdivision of machine learning (hence the word “deep”). This will also expose you to current and timely information as machine learning is an ever-evolving topic.

Machine Learning 105

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NYU Center for Data Science

JULY 13, 2023

She brings a robust background in mathematics and physics, and her research focuses on neural network theory and other related areas such as random features and out-of-distribution generalization. In summer 2022, she gave a talk at a MetaAI group seminar on out-of-distribution generalization. I am thrilled to be taking part!”

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Dlabs.ai

AUGUST 20, 2020

If you’re looking for the best free eBooks related to artificial intelligence, machine learning, or deep learning – this list is for you. Dive into Deep Learning Authors: Aston Zhang, Zack C. Smola The first eBook on our must-read list is a deep-dive into deep learning.

Artificial Intelligence 52

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Towards AI

JANUARY 31, 2023

Manipulating Tensors in PyTorch PyTorch is a deep-learning library that operates on numerical arrays known as tensors. Upcoming Community Events The Learn AI Together Discord community hosts weekly AI seminars to help the community learn from industry experts, ask questions, and get a deeper insight into the latest research in AI.

Neural Network 52

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Bugra Akyildiz

JANUARY 27, 2024

Articles One of the readers of the newsletter sent me the following blog post about modular deep learning and it is very interesting research direction for foundational models. Then, the author argues the following properties of Modular Deep Learning can actually make some of the shortcomings of the foundational models go away.

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