What you'll learn
- TensorFlow interview questions with answers
- Crack TensorFlow and Deep Learning / Machine Learning job interviews
- Enhance your knowledge of TensorFlow
- Become a TensorFlow / Deep Learning Engineer
- Get aware about the most trending topics on TensorFlow
Requirements
- Enthusiasm and determination to make your mark on the world!
Description
Uplatz provides this course on TensorFlow Interview Questions. You will learn the most frequently asked questions in TensorFlow engineer job interviews.
As per the leading job sites, the average salary for TensorFlow jobs is $148,000. Thus Deep Learning engineers with sound knowledge of TensorFlow command premium salaries, hence it's a good area to be already in or to aspire for.
What is TensorFlow
TensorFlow is a powerful data flow-oriented machine learning library created by the Brain Team of Google and made open source in 2015. It is designed to be easy to use and widely applicable to both numeric and neural network oriented problems as well as other domains. TensorFlow is a low-level toolkit for doing complicated math and it targets researchers who know what they’re doing to build experimental learning architectures, to play around with them and to turn them into running software.
Generally, it can think of as a programming system in which you represent computations as graphs. Nodes in the graph represent math operations, and the edges represent multidimensional data arrays (tensors) communicated between them. Thus TensorFlow is an open source deep learning library that is based on the concept of data flow graphs for building models. It allows you to create large-scale neural networks with many layers.
Who this course is for:
- Data Scientists & Artificial Intelligence Architects
- Machine Learning and Deep Learning Engineers
- Candidates preparing for TensorFlow and ML/DL interviews
- Software Developers, Data Engineers
- TensorFlow Application Developers
- Researchers and ML Enthusiasts
- Students aspiring to become Deep Learning Engineers
- Research Scientists (Deep Learning)
