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Practical Deep Learning for Coders (Part 1)

by fast.ai

A free video course on applying deep learning and machine learning to vision, text, tabular and recommendation problems with PyTorch and fastai.

Cost

Free

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Details

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The course has 9 lessons of about 90 minutes each, recorded at the University of Queensland. It covers computer vision, NLP, tabular models, collaborative filtering, random forests and model deployment, using PyTorch, fastai and Hugging Face. It uses free cloud notebooks and teaches the needed calculus and linear algebra along the way.

Format
Self-paced
Level
Beginner
Credential
No credential
Prerequisites
About a year of coding experience, preferably in Python, and high-school math.

Cost

  • Free

    Basis:
    Free

    Checked by AI Training FinderUpdated Source

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