AI: Machine Learning with TensorFlow
Tackle common machine learning problems with Google’s TensorFlow library and build deployable solutions
TensorFlow is an open source software library for numerical computation using data flow graphs. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.
In this course, you will learn:
- Set up basic and advanced TensorFlow installations
- Deep dive into training, validating, and monitoring training performance
- Set up and run cross-sectional examples using images
- Create pipelines to deal with real-world input data
- Be empowered to go from concept to a production-ready machine learning setup/pipeline capable of real-world usage
This course addresses common commercial machine learning problems using Google’s TensorFlow library. It will not only help you discover what TensorFlow is and how to use it, but will also show you the unbelievable things that can be done in machine learning with the help of examples/real-world use cases. We start off with the basic installation of Tensorflow, moving on to covering the unique features of the library such as Data Flow Graphs, training, and visualization of performance with TensorBoard—all within an example-rich context using problems from multiple sources.. The focus is on introducing new concepts through problems that are coded and solved over the course of each section.
This course is a clear, step-by-step demonstration, enabling you to understand the new heights in machine learning and will empower you to implement it in your environment.
Bill Gates Says These Are the Jobs He Would Drop Out of College for Today
If he were to go into computer sciences today, Gates said, the area that he thought had the most potential was artificial intelligence. Gates brought up a recent victory by Google DeepMind over the top player in the world at Go, a game some predicted a computer could never master. He called it a remarkable achievement that signaled there is more to come in advancement in artificial intelligence. And he said the research being done in the field now is "profound" and on the verge of making new breakthroughs. "The ability for artificial agents to read and understand material is going to be phenomenal," says Gates. "Anything connected with that would be an exciting lifetime career."