1. Generative AI Explained: https://
learn.nvidia.com/courses/course
-detail?course_id=course-v1:DLI+S-FX-07+V1
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@sumanth_077
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Generative AI Explained: NVIDIA Learning Course
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Free Nvidia Courses on Generative AI, Computer Vision and RAG
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Free courses from Nvidia on Generative AI Foundations, Computer Vision and RAG:
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Daily content sharing on Python, Data Science, and Machine Learning
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That's a wrap! If you are interested in any of these below topics: – Python – Data Science – Machine Learning – Data Analysis – LLMs – MLOps Find me → @Sumanth_077 I'm sharing daily content over here.
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Deep Learning and Machine Learning Tips and Tricks
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Deep Learning, Tips and Tricks in Machine Learning
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Machine Learning Cheatsheets from Stanford’s CS 229
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Machine Learning cheatsheets from Stanford's CS 229:
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How Large Language Models Work: Visual Explanation
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How LLMs work, clearly explained with visuals: pic.twitter.com/ujKeJrw5Lf
— Sumanth (@Sumanth_077) 3 mai 2024How LLMs work, clearly explained with visuals:
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Daily Content on Python, Data Science, and Machine Learning
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That's a wrap! If you are interested in any of these below topics: – Python – Data Science – Machine Learning – Data Analysis – LLMs – MLOps Find me → @Sumanth_077 I'm sharing daily content over here.
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Single Forward Pass Network Prediction Implementation
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Finally the Predict Function Now to predict on any new data all we need to do is a single Forward Pass through the Network:
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Method to Train Neural Networks: Forward Pass, Backward Pass, Weight Updates
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Now a method to train the neural network using both the forward and backward passes. The function will run for specified no of epochs, calculating: 1. The Forward Pass
2. Backward Pass
3. Updating the Weights