Cheapest (0$) Deep Learning Hardware Options | 2021

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In this video, I'll give you the cheapest options to get started with deep learning! I'll also mention what paid options you have at your disposal.

You'll get:
✔️ A high-level overview of the deep learning HW landscape

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--- Free options

✅ Google Colab: https://colab.research.google.com/
✅ (Google) Kaggle: https://www.kaggle.com/
✅ Kaggle tips: https://www.kaggle.com/docs/efficient...

If you want to dig deeper:
✅ Colab vs Kaggle: https://towardsdatascience.com/kaggle...

Sign-up for 1-month free credits:
✅ Azure ML: https://azure.microsoft.com/en-us/fre...
✅ GCP: https://cloud.google.com/free
✅ IBM: https://www.ibm.com/cloud/free

Check out this link for an awesome compilation of your options:
✅ https://github.com/zszazi/Deep-learni...

Check out these links for comparisons between cloud options:
✅ https://determined.ai/blog/cloud-v-on...
✅   / what-to-use-for-deep-learning-cloud-servic...  
✅ https://towardsdatascience.com/maximi...

--- Paid options

Build a budget deep learning PC:
✅    • How to Spec a Deep learning PC | 2019 PC B...  
✅    • How to build a PC for Deep Learning (on a ...  

Build your deep learning rig:
✅ https://www.mrdbourke.com/notes-on-bu...

Why is deep learning rig more cost-effective than the cloud?
✅   / why-building-your-own-deep-learning-comput...  

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⌚️ Timetable:
0:00 Intro: Deep Learning is expensive
0:37 First option: Google Colab and Kaggle
1:12 Tradeoffs you make by picking this option
2:00 Second option: Cloud For Free
3:30 ML-specific cloud providers (vs traditional)
4:45 Paid options (budget deep learning PC and beyond)
5:48 Recap - What's the best option for you?
6:27 Grants for researchers and final thoughts

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💡 The AI Epiphany is a channel dedicated to simplifying the field of AI using creative visualizations and in general, a stronger focus on geometrical and visual intuition, rather than the algebraic and numerical "intuition".

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#deeplearning #gpus #hardware