And there you go. I just registered for QVEMA to present my generative AI solution that I am developing in my startup @deeplayerAI. Wish me luck to be selected. @EricLarch can I come show you some deeptech with lots of real code please?
CODE
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Quivr: Second Brain AI Project Deep Dive with LangChain
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One of my favorite recent projects is Quivr by @_StanGirard – "your second brain", which utilizes LangChain to store and retrieve unstructured information On the next @langchain Webinar we will try a new format – a deep dive on Quivr. Join us!
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Deep Learning for Computer Vision Course by Justin Johnson
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Deep Learning for Computer Vision.
University of Michigan. EECS 498-007 / 598-005
Justin Johnson A deep dive into neural-network-based DL methods for CV, focusing on training and debugging neural networks and understanding cutting-edge research. https://
youtube.com/playlist?list=
PL5-TkQAfAZFbzxjBHtzdVCWE0Zbhomg7r
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Full Stack Deep Learning UC Berkeley Spring 2021 Online Course
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Full Stack Deep Learning
UC Berkeley Spring 2021 Online Course
Sergey Karayev, Josh Tobin, and Pieter Abbeel Training models is just one part of shipping a deep learning project. This course teaches full-stack production deep learning. https://
fullstackdeeplearning.com/spring2021/ -
Applied Machine Learning Course Cornell Tech CS 5787
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Applied Machine Learning
Cornell Tech CS 5787
Volodymyr Kuleshov A machine learning introductory course that starts from the very basics, covering all of the most important machine learning algorithms and how to apply them in practice. https://
youtube.com/playlist?list=
PL2UML_KCiC0UlY7iCQDSiGDMovaupqc83
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Deep Neural Networks Design Principles UC Berkeley Course
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Designing, Visualizing, and Understanding Deep Neural Networks
UC Berkeley CS L182
John Canny A theoretical course focusing on design principles and best practices for designing deep neural networks. https://
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NYU Deep Learning Course by LeCun and Canziani
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Deep Learning
NYU DS-GA 1008
Yann LeCun and Alfredo Canziani This course covers the latest techniques in deep learning and representation learning with applications to computer vision, natural language understanding, and speech recognition. https://
atcold.github.io/pytorch-Deep-L
earning/
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MIT Deep Learning Course with TensorFlow and Practical Applications
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Introduction to Deep Learning
MIT Course 6.S191
Alexander Amini and Ava Soleimany Introductory course on deep learning methods and practical experience using TensorFlow. Covers applications for computer vision, natural language processing, and more. http://
introtodeeplearning.com -
SQL-PaLM: LLM-based Text-to-SQL Achieves State-of-the-Art
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9/ SQL-PaLM – an LLM-based Text-to-SQL adopted from PaLM-2; achieves SoTA in both in-context learning and fine-tuning settings; the few-shot model outperforms the previous fine-tuned SoTA by 3.8% on the Spider benchmark.
