Addison Wesley Professional Machine Vision GANs and Deep Reinforcement Learning Sneak Peak

Addison Wesley Professional Machine Vision GANs and Deep Reinforcement Learning Sneak Peak-XCODE
English | Size: 1.38 GB
Category: Tutorial

An intuitive introduction to the latest superhuman capabilities facilitated by Deep Learning.
Machine Vision, GANs, Deep Reinforcement Learning LiveLessons is an introduction to three of the most exciting topics in Deep Learning today. Modern machine vision involves automated systems outperforming humans on image recognition, object detection, and image segmentation tasks. Generative Adversarial Networks cast two Deep Learning networks against each other in a “forger-detective” relationship, enabling the fabrication of stunning, photorealistic images with flexible, user-specifiable elements. Deep Reinforcement Learning has produced equally surprising advances, including the bulk of the most widely-publicized “artificial intelligence” breakthroughs. Deep RL involves training an “agent” to become adept in given “environments,” enabling algorithms to meet or surpass human-level performance on a diverse range of complex challenges, including Atari video games, the board game Go, and subtle hand-manipulation tasks. Throughout these lessons, essential theory is brought to life with intuitive explanations and interactive, hands-on Jupyter notebook demos. Examples feature Python and straightforward Keras layers in TensorFlow 2, the most popular Deep Learning library.

Udemy – Machine Learning with Python

Udemy – Machine Learning with Python BOOKWARE-SOFTiMAGE
English | Size: 1.59 GB
Category: CBTs

If you’re plugged into the tech industry, you’ll know that two things have been making consistent waves in many areas over the past few years; machine learning and Python. What happens when you combine the new gold standard programming language with the most significant tech development in areas such as financial trading, online search, digital marketing and even data and personal security (among others)? Great things, that’s what. This course will show you what’s what, and get you started on becoming a machine learning guru.

Leveraging Cloud-Based Machine Learning on Azure – Real-World Applications

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.

Cloud Academy – Getting Started With Deep Learning Introduction to Machine Learning

Cloud Academy – Getting Started With Deep Learning Introduction to Machine Learning-STM
English | Size: 2.02 GB
Category: Tutorial

Machine learning is a subfield of artificial intelligence (AI). The goal of machine learning generally is to understand the structure of data and fit that data into models that can be understood and utilized by people.

PluralSight – Creating Machine Learning Models-JGTiSO

PluralSight – Creating Machine Learning Models-JGTiSO
English | Size: 349.67 MB
Category: Tutorial

As Machine Learning explodes in popularity, it is becoming ever more important to know precisely how to frame a machine learning model in a manner appropriate to the problem we are trying to solve, and the data that we have available