A DataCamp course teaching you to build and train neural networks in PyTorch, one of the field's leading frameworks. Over about four hours you work with tensors, activation functions, loss calculations and training loops. Hands-on and practical — a strong, current entry into deep learning for people comfortable with Python.
Good for: A hands-on introduction to deep learning with PyTorch.
Less suitable if: You cannot code Python or want the underlying maths first.
Introduction to Deep Learning with PyTorch teaches you to build and train neural networks in one of the field's leading frameworks. Over about four hours you work with tensors, activation functions, loss calculations and training loops, applying them to regression and classification on both tabular and image data.
What you'll learn
Work with tensors in PyTorch
Build neural networks layer by layer
Choose activation and loss functions
Write training loops
Solve regression and classification tasks
Apply deep learning to tabular and image data
This course includes
4h
On-demand video
Yes
Certificate
Yes
Mobile access
English
Language
What it costs
DataCamp runs on a subscription — roughly $14/month billed annually (more month-to-month), with the first chapter of each course free to try. A certificate of completion is included with the subscription.
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DataCamp includes a certificate of completion with your subscription — a useful learning record rather than a formal or accredited qualification.
Instructor
TH
Thomas Hossler
DataCamp instructor
Created by Thomas Hossler, a senior machine learning engineer, with DataCamp's Jasmin Ludolf — combining production ML experience with structured teaching.
About this provider
DA
DataCamp
Data science and analytics learning platform. 10M+ learners, hands-on coding exercises.