Jha Mastering PyTorch

Build powerful neural network architectures using advanced PyTorch 1.x features
1. Auflage 2021
ISBN: 978-1-78961-640-8
Verlag: De Gruyter
Format: EPUB
Kopierschutz: 0 - No protection

E-Book, Englisch, 450 Seiten

No detailed description available for "Mastering PyTorch".

Autoren/Hrsg.

Jha, Ashish Ranjan

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Theoretische Informatik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Neuronale Netzwerke

Inhaltsverzeichnis

Table of Contents - Overview of Deep Learning Using PyTorch
- Combining CNNs and LSTMs
- Deep CNN Architectures
- Deep Recurrent Model Architectures
- Hybrid Advanced Models
- Music and Text Generation with PyTorch
- Neural Style Transfer
- Deep Convolutional GANs
- Deep Reinforcement Learning
- Operationalizing Pytorch Models into Production
- Distributed Training
- PyTorch and AutoML
- PyTorch and Explainable AI
- Rapid Prototyping with PyTorch

Über Autor(innen)

Jha Ashish Ranjan:

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.