PyTorch for Deep Learning with Python Bootcamp (Udemy.com)

Learn how to create state of the art neural networks for deep learning with Facebook's PyTorch Deep Learning library!

Created by: Jose Portilla

Produced in 2019

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What you will learn

  • Learn how to use NumPy to format data into arrays
  • Use pandas for data manipulation and cleaning
  • Learn classic machine learning theory principals
  • Use PyTorch Deep Learning Library for image classification
  • Use PyTorch with Recurrent Neural Networks for Sequence Time Series Data
  • Create state of the art Deep Learning models to work with tabular data

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Quality Score

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Overall Score : 92 / 100

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Course Description

Welcome to the best online course for learning about Deep Learning with Python and PyTorch!
PyTorch is an open source deep learning platform that provides a seamless path from research prototyping to production deployment. It is rapidly becoming one of the most popular deep learning frameworks for Python. Deep integration into Python allows popular libraries and packages to be used for easily writing neural network layers in Python. A rich ecosystem of tools and libraries extends PyTorch and supports development in computer vision, NLP and more. This course focuses on balancing important theory concepts with practical hands-on exercises and projects that let you learn how to apply the concepts in the course to your own data sets! When you enroll in this course you will get access to carefully laid out notebooks that explain concepts in an easy to understand manner, including both code and explanations side by side. You will also get access to our slides that explain theory through easy to understand visualizations.
In this course we will teach you everything you need to know to get started with Deep Learning with Pytorch, including:
NumPyPandasMachine Learning TheoryTest/Train/Validation Data SplitsModel Evaluation - Regression and Classification TasksUnsupervised Learning TasksTensors with PyTorchNeural Network Theory PerceptronsNetworksActivation FunctionsCost/Loss FunctionsBackpropagationGradientsArtificialNeural NetworksConvolutional Neural NetworksRecurrent Neural Networksand much more!
By the end of this course you will be able to create a wide variety of deep learning models to solve your own problems with your own data sets. So what are you waiting for? Enroll today and experience the true capabilities of Deep Learning with PyTorch! I'll see you inside the course! -JoseWho this course is for:
Intermediate to Advanced Python Developers wanting to learn about Deep Learning with PyTorch

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Instructor Details

Jose Portilla

Jose Marcial Portilla has a BS and MS in Mechanical Engineering from Santa Clara University andyears ofexperience as a professional instructor and trainer for Data Science and programming. He has publications and patents in various fields such as microfluidics,materials science, and data science technologies. Over the course of his career he has developed a skill set in analyzing data and he hopes to use his experience in teaching and data science to help other people learn the power of programming theability to analyze data, as well as present the data in clear and beautiful visualizations. Currently he works as the Head of Data Science for Pierian Data Inc.and provides in-person data science and python programming training courses to employees working at top companies, including General Electric, Cigna, The New York Times, Credit Suisse, McKinsey and many more.Feel free to contact him on LinkedIn for more information on in-person training sessions or group training sessions in Las Vegas, NV.

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Reviews

4.6

176 total reviews

5 star 4 star 3 star 2 star 1 star
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By Dian Wei on 11/7/2020

Excellent course, a lot of details were provided which helps a lot.
Beyond expectation.

By Franck Edery on 11/7/2020

Explanations are very clear and projects are very well explained!

By Aanu Pelumi Olakunle on 10/24/2020

I am lucky to have this course. I love the course and I will gladly recommend beginner or anyone looking to learn Pytorch or Artificial Intelligence to first check out the course

By Osagie NOZE-OTOTE on 10/23/2020

This course is beautiful so far. I like that it starts with an overview. Reminding even more seasoned python programmers of some concepts we may have forgotten.
It then goes into more complex topics however the confidence gained from the earlier sections helps to overcome any fear . wonderful stuff

By Mihaela Grigore on 10/21/2020

It's my second course from the same author. I was very satisfied with the first one I took. Therefore, when I wanted to learn about PyTorch, I looked up courses by Jose Portilla again.
This course on PyTorch was a perfect fit for me. It gave me exactly the right level of exposure to both theory and code. I am very pleased with the material, the way it's presented and with my knowledge gain !

By Subrota Mondal on 10/21/2020

In my view, the best PyTorch course.

By Gaurav Kumar Yadav on 10/20/2020

Actually the way he guiding us, really good and appreciable. The one who not belong to computer science background can also understand. So it is really good explanation so for.

By Thomas Erian on 10/14/2020

Perfect

By Douglas Schonholtz on 10/13/2020

This course looks good. It is definitely catering to everyone that could possibly want to take it which makes it a bit slow at times.

By Filip Zawadka on 10/11/2020

great

By Abdelrahman Abdelhaq on 10/8/2020

Seems to be gerat for my experience level

By Ali Azad on 10/7/2020

Fantastic like always!