Develop essential data science & ai skills with expert instruction and practical examples.
Welcome to "Deep Learning with PyTorch". This course is designed to take you from the basics of tensors to building complex neural networks, culminating in mastering convolutional neural networks (CNNs) for advanced image recognition tasks. Whether you're a beginner or an experienced developer, this course offers a comprehensive learning experience.
You'll learn the theory behind neural networks, gain practical coding experience, and test your knowledge with quizzes and activities. Our final project will challenge you to build a CNN for detecting brain tumors from MRI images, preparing you for real-world applications. Enroll now to start your journey in deep learning and PyTorch, and unlock the potential of AI to transform industries and drive innovation.
Course ModulesIntroductionIntro to Instructor: Meet your instructor and understand their background and expertise in deep learning and PyTorch. Intro to Course: Get an overview of the course structure, including the flow of theory, practice, quizzes, and activities. Understand the course content, which covers basics of tensors, neural networks with tensors, and CNNs with PyTorch.
Why Use a Framework: Learn about the advantages of using frameworks like PyTorch, including autograd and GPU acceleration. Installations: Step-by-step guidance on setting up your development environment, including IDE and Google Colab, to ensure you are ready to code along. Intro to TensorsList vs Array vs Tensor: Understand the differences between lists, arrays, and tensors, and why tensors are crucial for deep learning.
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