Getting Started with TensorFlow

Install TensorFlow on your machine now and get started with TensorFlow today.

 

 

Crack Your Next Interview

Want to make it through the next interview you will appear for? Hone your skills with our two-part series of interview questions widely asked in the industry. With basic to advanced questions, this is a great way to expand your repertoire and boost your confidence.

TensorFlow Interview Questions
TensorFlow Interview Questions
Test Your Skills

Think you have it in you? Test your skills with our series of TensorFlow quizzes and measure yourself to your expectations. Improvise in the process with questions carefully curated for different levels of difficulty.

TensorFlow Quiz Questions
TensorFlow Quiz Questions
TensorFlow Quiz Questions

 

Things to Learn

Choose where to begin, learn at your own pace:

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Exploring the Library

Let’s take a look at some facts about TensorFlow and its philosophies.

TensorFlow first appeared in 2015 as an open-source software library for dataflow programming. But it being a symbolic math library, we often use it for machine learning applications like neural networks. It is safe to call it a machine learning library. The team at Google Brain developed it for internal use and released it under the Apache 2.0 open-source license on November 9, 2015. Google uses it for both research and production.

TensorFlow is written in Python, C++, and CUDA, and will work with Python, C, C++, Go, Java, JavaScript, Swift, C#, Haskell, Julia, R, Scala, Rust, and OCaml.

TensorFlow Founder Google Brain

Google Brain