The Complete Guide to TensorFlow 1.x

Are you a data analyst, data scientist, or a researcher looking for a guide that will help you increase the speed and efficiency of your machine learning activities. If yes, then this course is for you. Google's brainchild TensorFlow, in its first year, has more than 6000 open source repositories online.

It has helped engineers, researchers, and many others make significant progress with everything from voice/sound recognition to language translation and face recognition. It has also proved to be useful in the early detection of skin cancer and preventing blindness in diabetics. TensorFlow is designed to make distributed machine and deep learning easy for everyone, but using it requires understanding some general principles and algorithms.

Furthermore, the latest release of TensorFlow comes with lots of exciting features. It's incredibly fast, flexible, and more production-ready than ever. The aim of this course is to help you tackle common commercial machine learning and deep learning problems that you're facing in your day-to-day activities.

What is included. Let's take a look at the learning journey. The course begins with an introduction to machine learning and deep learning.