课程概述
This course introduces you to the core principles of deep learning through hands-on coding in PyTorch. You’ll start by learning how PyTorch represents data with tensors and how datasets and data loaders fit into the training process.
Step by step, you’ll build and train neural networks, experiment with different architectures, and explore how models learn from examples. You’ll also learn how to monitor training progress, interpret results, and evaluate performance.
By the end of the course, you’ll understand PyTorch’s workflow and be ready to design, train, and test your own neural networks with confidence.
热门审阅
KK
Nov 23, 2025
Used the course as a refresher. Nicely paced, along with good intuitive explanations of various tricks (batch norm, maxpooling, etc).
BM
Nov 25, 2025
Very well explained fundamentals on PyTorch and Machine Learning. Much better than any other course I've done on the same subjects.
筛选依据：
1 - PyTorch: Fundamentals 的 4 个评论（共 4 个）
创建者 kiran k
•Nov 23, 2025
Used the course as a refresher. Nicely paced, along with good intuitive explanations of various tricks (batch norm, maxpooling, etc).
创建者 Benjamin M
•Nov 26, 2025
Very well explained fundamentals on PyTorch and Machine Learning. Much better than any other course I've done on the same subjects.
创建者 Ghee C F
•Nov 24, 2025
Cover the fundamental in intuitive way, and reinforced it through jupyter notebook.
创建者 dgf
•Nov 28, 2025
bad