Mastering PyTorch: Create and deploy deep learning models from CNNs to multimodal models, LLMs, and beyond
Author:   Ashish Ranjan Jha
Publisher:   Packt Publishing Limited
Edition:   2nd Revised edition
ISBN:  

9781801074308


Pages:   558
Publication Date:   31 May 2024
Format:   Paperback
Availability:   Available To Order   Availability explained
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Mastering PyTorch: Create and deploy deep learning models from CNNs to multimodal models, LLMs, and beyond


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Author:   Ashish Ranjan Jha
Publisher:   Packt Publishing Limited
Imprint:   Packt Publishing Limited
Edition:   2nd Revised edition
ISBN:  

9781801074308


ISBN 10:   1801074305
Pages:   558
Publication Date:   31 May 2024
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Available To Order   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

Table of Contents

Table of Contents Overview of Deep Learning using PyTorch Deep CNN architectures Combining CNNs and LSTMs Deep Recurrent Model Architectures Advanced Hybrid Models Graph Neural Networks Music and Text Generation with PyTorch Neural Style Transfer Deep Convolutional GANs Image Generation Using Diffusion Deep Reinforcement Learning Model Training Optimizations Operationalizing PyTorch Models into Production PyTorch on Mobile Devices Rapid Prototyping with PyTorch PyTorch and AutoML PyTorch and Explainable AI Recommendation Systems with TorchRec PyTorch and Hugging Face

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Author Information

Ashish Ranjan Jha received his bachelor's degree in electrical engineering from IIT Roorkee (India), a master's degree in Computer Science from EPFL (Switzerland), and an MBA degree from Quantic School of Business (Washington). He has received a distinction in all 3 of his degrees. He has worked for large technology companies, including Oracle and Sony as well as the more recent tech unicorns such as Revolut, mostly focused on artificial intelligence. He currently works as a machine learning engineer. Ashish has worked on a range of products and projects, from developing an app that uses sensor data to predict the mode of transport to detecting fraud in car damage insurance claims. Besides being an author, machine learning engineer, and data scientist, he also blogs frequently on his personal blog site about the latest research and engineering topics around machine learning.

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