edX
MOOC / Non-credit
0
PyTorch Basics for Machine Learning
About this course
This course is the first part in a two part course and will teach you the fundamentals of PyTorch. In this course you will implement classic machine learning algorithms, focusing on how PyTorch creates and optimizes models. You will quickly iterate through different aspects of PyTorch giving you strong foundations and all the prerequisites you need before you build deep learning models.
C
60/100
CourseAsk score
- What the provider tells you
- 24/45
- Who stands behind it
- 20/35
- How complete the listing is
- 16/20
Scores how much the provider publishes and who stands behind it — not how well it is taught.
What you'll learn
- understand the fundamentals of PyTorch
- implement classic machine learning algorithms
- learn how to optimize models using PyTorch
Machine Learning
#deep learning
#machine learning
#model optimization
#algorithms
#data modeling
#data science
#pytorch
#programming
#neural networks
#iterative training
$39.00
Price shown by edX — confirm on their site.
Enroll on edXYou'll be redirected to edX to complete enrollment.
- Listed & compared by CourseAsk
- English · 0
Coursera
Udemy
edX
Compared on these lists
Where this course ranks against the alternatives.