This comprehensive course on Deep Learning with PyTorch equips you with the essential skills to harness the power of this leading open-source framework developed by Facebook. PyTorch serves as a robust mathematical library that facilitates efficient computation and automatic differentiation for graph-based models. In this course, you will learn the critical aspects of predictive modeling using deep learning, including the installation of PyTorch, understanding its lifecycle, and developing various deep learning models for tasks such as regression and classification. With a hands-on approach, you will gain practical experience through code examples designed for immediate application. By the end of this course, you will be well-prepared to implement deep learning solutions in your projects.
Course Content
المحتوى
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Introduction to PyTorch and Gradient Descent | Deep Learning with PyTorch Zero to GANs | Part 1 of 6
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Image Classification Using Convolutional Neural Networks | Deep Learning with PyTorch Zero to GANs |
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Final Exam – Mastering Deep Learning with PyTorch















































































































































