Whether you are a beginner taking your first steps into the world of machine learning or an experienced practitioner looking to enhance your expertise, this book addresses your needs. Key topics include essential tensor operations, neural network construction, and advanced subjects such as Convolutional and Recurrent Neural Networks, transfer learning, and model deployment. With clear explanations, hands-on examples, and best practices, "Machine Learning with PyTorch" equips you with the knowledge and tools needed to tackle real-world challenges and innovate in various domains using machine learning.
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