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Source channel @githubtrending · Post #15267 · Nov 4

#jupyter_notebook#deep_learning#pytorch You can learn PyTorch effectively in 20 days with a friendly, well-structured guide designed for those who already know some machine learning basics and have used Keras, TensorFlow, or PyTorch before. The book breaks down PyTorch concepts from easy to hard, with clear examples and practical code you can use right away. It includes a daily plan requiring 30 minutes to 2 hours, covering modeling, core concepts, APIs, and even advanced topics like GPU training and recommendation systems. This approach makes mastering PyTorch easier and faster, helping you build strong skills for deep learning projects and real applications. https://github.com/lyhue1991/eat_pytorch_in_20_days

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djangoproject

@djangoproject · Post #388 · 07/19/2017, 08:35 PM

https://www.youtube.com/watch?v=D-5V7s0GflU Look mum no hands! From blinking LEDs to a bike speedometer with #MicroPython In this talk I will show you how to use a micro-controller to build a wifi enabled speedometer for your bike, using MicroPython. And some hardware. And a bike (maybe). I will introduce you to the world of MicroPython: a python distribution that runs on micro-controllers. Micro-controllers are small computers that are all around us: in cars, TVs, and your internet connected fridge. We will start with making LEDs blink, then serve webpages, build an interrupt handler and finally put it all together to make a wifi enabled speedometer for a bike.

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djangoproject

@djangoproject · Post #513 · 11/30/2017, 10:00 PM

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