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.
This video 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.
Shams Ul Azeem is an undergraduate of NUST Islamabad, Pakistan, in Electrical Engineering.