返回到 PyTorch: Techniques and Ecosystem Tools
学生对 DeepLearning.AI 提供的 PyTorch: Techniques and Ecosystem Tools 的评价和反馈
11 个评分
课程概述
Master advanced PyTorch techniques to build high-performing, efficient deep learning models.
In this course, you’ll expand your skills in hyperparameter optimization, model profiling, and workflow efficiency. You’ll experiment with learning rate schedulers, tackle overfitting, and use automated hyperparameter tuning with Optuna to boost model performance. Learn how to design flexible architectures, measure model efficiency with the PyTorch Profiler, and make the most of your compute resources.
You’ll also dive into real-world applications using TorchVision for computer vision tasks like loading, transforming, and augmenting image data, and leveraging Hugging Face for natural language processing. You’ll apply transfer learning and fine-tune pre-trained models to adapt them for new problems.
By the end, you’ll know how to train smarter, optimize deeper, and build PyTorch models ready for production-level deployment.
热门审阅
OO
Dec 12, 2025
more than enough the one who teach in this course is Andrew NG and Lornce
HJ
Nov 11, 2025
Besides of running with time it was very good. Good material and explanations.
筛选依据:
1 - PyTorch: Techniques and Ecosystem Tools 的 3 个评论(共 3 个)
创建者 Helio J
•Nov 12, 2025
Besides of running with time it was very good. Good material and explanations.
创建者 Osama
•Dec 13, 2025
more than enough the one who teach in this course is Andrew NG and Lornce
创建者 Ayyub M
•Nov 29, 2025
amazing course !