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This is Part 0 of the Series.

The series will be in a beginner friendly form. All the links to the GitHub repositories will be provided in the posts. The Posts will be in the form on a theory minima appraoch-where only just the bare amount of theory needed to get you started is required, with in depth discussion of the code.

If you feel you need a quick refresh of [Python](https://hackernoon.com/tagged/python), [Checkout my Basic Tutorial Series.](https://medium.com/init27-labs/basic-tutorials-part-0-90f623b291e6?source=collection_detail----1f0f7ce4f5ad-----7----------------)

Feel Free to contribute and improve the code, I’ll update my posts and Credit you for the contributions as well!

The topics that will be covered are (Links will be updated as the drafts become public):

1.  [Basics (Numpy Bridge, getting started)](https://medium.com/init27-labs/pytorch-basics-9c1c627cd0d2?source=collection_home---4------0----------------)
2.  [Linear Regression](https://medium.com/init27-labs/linear-regression-in-x-minutes-using-pytorch-8eec49f6a0e2)
3.  Logistic Regression
4.  Neural [Network](https://hackernoon.com/tagged/network)
5.  Convolutional Neural Networks
6.  Recurrent Neural Networks
7.  LSTM Deep Dive
8.  Collaborative Filters

Please drop a comment below if you’d like to read more tutorials and I will try my best to have them up and ready ASAP!

If you want to chat, ping me in the comments or find me on twitter. I’d love to hear from you!

> [If Self Driving Cars excite you, Here is my Path to Self Driving.](https://becominghuman.ai/a-self-driving-new-year-33284e592f35)

> [If you want a Primer on Reinforcement Learning, click here for a quick read](https://medium.com/init27-labs/reinforcement-learning-part-0-8c2c3efe0ad6?source=collection_detail----1f0f7ce4f5ad-----1----------------)

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Too Long; Didn't Read

Get hands-on learning from ML experts on Coursera 

PyTorch Primer Series #0

PyTorch Primer Series #0

Too Long; Didn't Read

Company Mentioned

@init_27

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