PyTorch Essentials

Learn the fundamental and advanced concepts needed to work with PyTorch efficiently. Gain a solid understanding tensors, including creation, operations, and reshaping. Explore the essentials of gradients, backpropagation, and linear regression before moving on to handling datasets. Master the skill needed build, train, and evaluate neural networks.Show more

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Outcomes

Learning outcomes

Modules

Testimonials

Recommendations

Codefinity advantages

FAQs

What you will learn

The fundamentals of PyTorch and how it differs from other frameworks.
Tensor creation, manipulation, and mathematical operations.
Automatic differentiation and multi-step backpropagation in PyTorch.
Linear regression implementation and working with real-world datasets.

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17 assignments

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There are 3 modules in this course

Explore the fundamentals of PyTorch, focusing on tensors—the core data structure used for computations. You will learn about tensor creation, random initialization, mathematical operations, and shape manipulation.

Explore key concepts for training models in PyTorch, including computing gradients and performing multi-step backpropagation. Master linear regression as a foundational machine learning model and introduces handling datasets efficiently.

Discover how to build, train, and evaluate neural networks using PyTorch. You will learn how to define a simple feedforward neural network, optimize its parameters through training, and assess its performance.

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Introduction to SQL

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ML Introduction with scikit-learn

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Your subscription also includes:

Integrating ChatGPT into a Web Application

Introduction to SQL

Intermediate SQL

Pandas First Steps

Excel Formulas

AI Powered Web Development Essentials

Advanced Techniques in pandas

Ultimate NumPy

Introduction to Neural Networks

Relational Database and Normalization

ML Introduction with scikit-learn

Ultimate Visualization with Python

Integrating ChatGPT into a Web Application

Introduction to SQL

Intermediate SQL

Pandas First Steps

Excel Formulas

AI Powered Web Development Essentials

Advanced Techniques in pandas

Ultimate NumPy

Introduction to Neural Networks

Relational Database and Normalization

ML Introduction with scikit-learn

Ultimate Visualization with Python

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