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Practical Deep Learning for Coders

Appears in 8 awesome lists

Practical Deep Learning for Coders 2022 is a free course offering hands-on experience in building, training, and deploying deep learning models across various domains using tools like PyTorch and fastai, suitable for those with coding knowledge and without the need for advanced math.

Open course.fast.ai

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Section: Deep Learning

ActiveScore 79

Awesome AIGC Tutorials

Section: Deep Learning · Practical Deep Learning for Coders 2022 is a free course offering hands-on experience in building, training, and deploying deep learning models across various domains using tools like PyTorch and fastai, suitable for those with coding knowledge and without the need for advanced math.

StaleScore 54

Awesome Artificial Intelligence

Section: Courses · A code-first introduction to deep learning.

FreshScore 86

Awesome CTO

Section: Data

SlowScore 72

Awesome Learning

Section: AI

FreshScore 82

Awesome Learning Resources

Section: Machine Learning

SlowScore 58

Awesome Weekly Robotics

Section: Books and Courses · Free course on neural networks from fast.ai. Currently it contains 14 lessons.

ActiveScore 68

Programming, Math, Science

Section: Machine Learning

FreshScore 84

Neural Networks and Deep Learning

This book covers many of the core concepts behind neural networks and deep learning.

In 9 listsDetails

Deep Learning Specialization

New series of 5 Deep Learning courses by Andrew Ng, now with Python rather than Matlab/Octave, and which leads to a specialization certificate.

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斯坦福 CS25: Transformers United V4

This course delves into the transformative role of Transformers in deep learning, particularly their impact on the advancement of language models like ChatGPT and GPT-4.

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Python Data Science Handbook

Full text of the "Python Data Science Handbook" in Jupyter Notebooks.

In 4 listsDetails

Dive into Deep Learning

Interactive deep learning book with code implementations

In 4 listsDetails

Neural Networks: Zero to Hero

Andrej Karpathy's course guides students from the foundational backpropagation to advanced neural networks like GPT, emphasizing language models as a versatile gateway to mastering deep learning, with prerequisites in Python programming and basic math.

In 3 lists

Python: Neural Networks: Zero to Hero

Build neural networks and language models from first principles.

In 3 lists

Caire

Content aware image resize library

In 3 lists