Diving deep into stable diffusion
@akshay_pachaar
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CS231N Course Remains Relevant for Learning Computer Vision
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cs231n is still very much relevant.
You can also check this -
Follow for Python, Data Science, ML, and NLP Content
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That's a wrap! If you are interested in: Python Data Science Data Viz Machine Learning Maths for ML MLOps Pandas Computer Vison NLP Follow me → @akshay_pachaar I'll be using Twitter to share a lot of content that you wouldn't wanna miss.
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Natural Language Processing with Transformers Book Review
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Natural Language Processing with Transformers Truly a delight for coders who want to learn & build with NLP! Really enjoying this book by @_lewtun
. Check this out https://
huggingface.co/transformersbo
ok
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Deep Learning for Coders: Top-Down Approach by Jeremy Howard
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Deep Learning for Coders By @jeremyphoward Again a great lecture series that teaches you the tricks of trade in training and evaluating deep learning models. A top down approach, recommended for programmers! Check this out
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Deep Learning Specialization by Andrew Ng on Coursera
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Deep Learning Specialization by Andrew Ng Again one of the most trusted & widely taken courses to start with deep learning. Check this out https://
coursera.org/specialization
s/deep-learning
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CS231n Stanford: The Gold Mine for Computer Vision Learning
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Stanford: CS231n Started by Andrej Karpathy in 2015, is one of the most famous courses at Stanford today. I was working on a computer vision problem and this proved to be a gold mine!! Check this out
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Machine Learning by Andrew Ng: Best Course to Start
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Machine Learning by Andrew Ng Tested by time and taken by millions. Arguably the best course to start with Check this out https://
coursera.org/specialization
s/machine-learning-introduction
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Andrew Ng’s Mastery in Simplifying Complex Concepts
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Everything is simple once you understand it. Andrew Ng has mastered the art of bridging this gap!