Janani Ravi | Duration: 22h 00m | Video: H264 1280x720 | Audio: AAC 48 kHz 2ch | 2,7 GB | Language: English

PyTorch is an open-source machine learning and deep learning library developed at Facebook for the Python programming language.

This skill teaches you how to apply and deploy PyTorch to address common problem domains, such as image classification, style transfer, natural language processing, and predictive analytics.

Build your first PyTorch project, learning the underlying concepts behind the library and how it operates, and apply your knowledge in the Cloud.
Apply PyTorch to common deep learning problem domains.
Use PyTorch to create predictive analytics models, apply transfer learning techniques, and deploy and monitor your models in production.

Courses in this path

A1. Foundations of PyTorch (Janani Ravi, 2019)
A2. Building Your First PyTorch Solution (Janani Ravi, 2019)
A3. Using PyTorch in the Cloud. PyTorch Playbook (Janani Ravi, 2019)
B1. Image Classification with PyTorch (Janani Ravi, 2019)
B2. Style Transfer with PyTorch (Janani Ravi, 2019)
B3. Natural Language Processing with PyTorch (Janani Ravi, 2019)
C1. Expediting Deep Learning with Transfer Learning. PyTorch Playbook (Janani Ravi, 2019)
C2. Predictive Analytics with PyTorch (Janani Ravi, 2020)
C3. Deploying PyTorch Models in Production. PyTorch Playbook (Janani Ravi, 2019)

HomePage:

https://anonymz.com/https://www.pluralsight.com/paths/building-deep-learning-solutions-with-pytorch