Udemy – Tensorflow 2.0 Deep Learning and Artificial Intelligence
English | Size: 6.96 GB
Category: Udemy
Neural Networks for Computer Vision, Time Series Forecasting, NLP, GANs, Reinforcement Learning, and More!
Christopher Nuttall – A Learning Experience Series Complete 1 – 5 (MP3 or M4B)
English | Size: 2.22 GB
Category: E-books
A Learning Experience Series
Addison Wesley Professional Deep Learning with TensorFlow Keras and PyTorch Sneak Peak-RiDWARE
English | Size: 1.19 GB
Category: Tutorial
An intuitive, application-focused introduction to deep learning and TensorFlow, Keras, and PyTorch
PluralSight – Learning From FAIlure-JGTiSO
English | Size: 149.89 MB
Category: Tutorial
Incidents will happen there s no doubt about that. The key question is whether you treat them as a learning opportunity to make your operations practice better or just as a loss of time, money, and reputation. In this session dive into one of the most important topics for improving reliability: how to learn from failure. We listen into one of Tailwind Traders post-incident reviews, often called a postmortem, and use that to learn how to shape and run this process to turn a failure into something actionable. After this session, you ll be able to build a key feedback loop in your organization that turns unplanned outages into opportunities
Leveraging Cloud-Based Machine Learning on Azure – Real-World Applications
English | Size: 157.78 MB
Category: Tutorial
In order to successfully incorporate AI on the popular Azure platform, you must gain a fundamental understanding of what AI is and become familiar with the local tools Azure offers. In this course, David Linthicum covers the basics of leveraging Azure for AI-based applications, including key tools and the processes for using them correctly. After going over the basics of AI processing on Azure, creating knowledge bases, and the use of AI systems in the cloud, David presents real-world use cases across a variety of industries, including healthcare, finance, law enforcement, and manufacturing. He then shows how to work with the Azure Machine Learning (AML) cloud service to build, train, and deploy machine learning models; leverage the Azure Search (AS) tool; and build an AML application.