Deep Learning Using TensorFlow

TensorFlow is one of the best and most used libraries to implement Deep Learning. its a software library for numerical computation of mathematical expressions, using data flow graphs. Nodes represents the mathematical operations in the graph, while the edges represent the multidimensional data arrays (tensors) that flow between them. It was created by Google and tailored for Machine Learning. In fact, it is being widely used to develop solutions with Deep Learning.

What are the Topics covered in the above Lectures

1. What are Tensors?
2. What is TensorFlow?
3. TensorFlow Code-basics
4. Graph Visualization
5. TensorFlow Data structures
6. Use-Case Naval Mine Identifier (NMI)

Above Video is Created by Edureka

Srikanth is the Cheif editor for Techiexpert, Brings in 10+ years of experience on Emerging Technologies like IOT, Big Data, Artificial Intelligence .. He currently handles the day to day operations, involves in strategic decisions as a media partners for the technology event across globe , Srikanth can be reached at srikanth@techiexpert.com

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