LEARN PYTORCH: Master Creating Deep Learning Models with Flexibility and Efficiency
About this ebook
You will learn to apply modern techniques to design, train, and scale robust neural networks in real-world environments, covering everything from fundamentals to advanced architectures.
Includes:
• Tensor manipulation and Autograd usage
• Modular neural network construction with torch.nn
• Training with DataLoader, optimizers, and loss functions
• Practical application with CNNs, RNNs, Transformers, and GANs
• Integration with PyTorch Lightning, TorchScript, and model export
• Real-world projects with NLP, computer vision, IoT, and cloud deployment
By the end, you will master PyTorch as a professional tool to design scalable AI solutions with technical precision and development agility. pytorch, deep learning, neural networks, torch.nn, autograd, distributed training, cnn, rnn, transformers, deployment
About the author
Best-Selling Author, Diego Rodrigues is an International Consultant and Writer specializing in Market Intelligence, Technology and Innovation. With 42 international certifications from institutions such as IBM, Google, Microsoft, AWS, Cisco, and Boston University, Ec-Council, Palo Alto and META.
Rodrigues is an expert in Artificial Intelligence, Machine Learning, Data Science, Big Data, Blockchain, Connectivity Technologies, Ethical Hacking and Threat Intelligence.
Since 2003, Rodrigues has developed more than 200 projects for important brands in Brazil, USA and Mexico. In 2024, he consolidates himself as one of the largest new generation authors of technical books in the world, with more than 180 titles published in six languages.
