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PyTorch for Deep Learning with Python Bootcamp

Learn how to create state of the art neural networks for deep learning with Facebook's PyTorch Deep Learning library!
4.6
4.6/5
(3,245 reviews)
21,194 students
Created by

8.8

Classbaze Grade®

6.8

Freshness

9.1

Popularity

9.8

Material

Learn how to create state of the art neural networks for deep learning with Facebook's PyTorch Deep Learning library!
Platform: Udemy
Video: 17h 0m
Language: English
Next start: On Demand

Best Deep Learning classes:

Classbaze Rating

Classbaze Grade®

8.8 / 10

CourseMarks Score® helps students to find the best classes. We aggregate 18 factors, including freshness, student feedback and content diversity.

Freshness

6.8 / 10
This course was last updated on 9/2019.

Course content can become outdated quite quickly. After analysing 71,530 courses, we found that the highest rated courses are updated every year. If a course has not been updated for more than 2 years, you should carefully evaluate the course before enrolling.

Popularity

9.1 / 10
We analyzed factors such as the rating (4.6/5) and the ratio between the number of reviews and the number of students, which is a great signal of student commitment.

New courses are hard to evaluate because there are no or just a few student ratings, but Student Feedback Score helps you find great courses even with fewer reviews.

Material

9.8 / 10
Video Score: 10.0 / 10
The course includes 17h 0m video content. Courses with more videos usually have a higher average rating. We have found that the sweet spot is 16 hours of video, which is long enough to teach a topic comprehensively, but not overwhelming. Courses over 16 hours of video gets the maximum score.
The average video length is 8 hours 18 minutes of 153 Deep Learning courses on Udemy.
Detail Score: 9.6 / 10

The top online course contains a detailed description of the course, what you will learn and also a detailed description about the instructor.

Extra Content Score: 9.9 / 10

Tests, exercises, articles and other resources help students to better understand and deepen their understanding of the topic.

This course contains:

2 articles.
2 resources.
0 exercise.
0 test.

In this page

About the course

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:
•NumPy
•Pandas
•Machine Learning Theory
•Test/Train/Validation Data Splits
•Model Evaluation – Regression and Classification Tasks
•Unsupervised Learning Tasks
•Tensors with PyTorch
•Neural Network Theory
•Perceptrons
•Networks
•Activation Functions
•Cost/Loss Functions
•Backpropagation
•Gradients
•Artificial Neural Networks
•Convolutional Neural Networks
•Recurrent Neural Networks
•and 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!
-Jose

What can you learn from this course?

✓ 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

What you need to start the course?

• Understanding of Python Basic Topics (data types,loops,functions) also Python OOP recommended
• Be able to work through basic derivative calculations
• Admin Permissions on your computer (ability to download our files)

Who is this course is made for?

• Intermediate to Advanced Python Developers wanting to learn about Deep Learning with PyTorch

Are there coupons or discounts for PyTorch for Deep Learning with Python Bootcamp ? What is the current price?

The course costs $19.99. And currently there is a 82% discount on the original price of the course, which was $109.99. So you save $90 if you enroll the course now.
The average price is $16.2 of 153 Deep Learning courses. So this course is 23% more expensive than the average Deep Learning course on Udemy.

Will I be refunded if I'm not satisfied with the PyTorch for Deep Learning with Python Bootcamp course?

YES, PyTorch for Deep Learning with Python Bootcamp has a 30-day money back guarantee. The 30-day refund policy is designed to allow students to study without risk.

Are there any financial aid for this course?

Currently we could not find a scholarship for the PyTorch for Deep Learning with Python Bootcamp course, but there is a $90 discount from the original price ($109.99). So the current price is just $19.99.

Who will teach this course? Can I trust Jose Portilla?

Jose Portilla has created 50 courses that got 905,198 reviews which are generally positive. Jose Portilla has taught 2,878,365 students and received a 4.6 average review out of 905,198 reviews. Depending on the information available, we think that Jose Portilla is an instructor that you can trust.
Head of Data Science at Pierian Training
Jose Marcial Portilla has a BS and MS in Mechanical Engineering from Santa Clara University and years of experience as a professional instructor and trainer for Data Science, Machine Learning and Python Programming. He has publications and patents in various fields such as microfluidics, materials science, and data science. 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, the ability to analyze data, and the skills needed to present the data in clear and beautiful visualizations. Currently he works as the Head of Data Science for Pierian Training 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 check out the website link to find out more information about training offerings.
Browse all courses by on Classbaze.

8.8

Classbaze Grade®

6.8

Freshness

9.1

Popularity

9.8

Material

Platform: Udemy
Video: 17h 0m
Language: English
Next start: On Demand

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