What is TensorFlow?
TensorFlow is a free and open-source software library for machine learning and artificial intelligence. TensorFlow, its open source community and ecosystem, and highlights some interesting TensorFlow open sourced models. The TensorFlow distributed execution engine abstracts away the many supported devices and provides a high performance-core implemented in C++ for the TensorFlow platform. Tensorflow allows developers to create a graph of computations to perform. Each node in the graph represents a mathematical operation and each connection represents data.
How TensorFlow works architecture?
TensorFlow Serving is an adaptable, superior presentation serving framework for AI models, intended for creation conditions. TensorFlow Serving makes it simple to send new calculations and examinations, while keeping a similar server design and APIs. TensorFlow Serving furnishes out of the case joining with TensorFlow models, however can be effortlessly reached out to serve different sorts of models.
Use case of TensorFlow
- Voice/Sound Recognition. Voice and Sound recognition applications are the most well-known use cases of deep learning.
- Text-Based Applications. Text-based applications are very popular use cases of deep learning.
- Image Recognition
- Time Series.
- Video Detection.
Feature and Advantage of using TensorFlow
- Open-source Library. It is an open-source library that allows rapid and easier calculations in machine learning.
- Easy to run.
- Fast Debugging.
- Effective
- Scalable
- Easy Experimentation
- Abstraction
- Flexibility
Best Alternative of TensorFlow?
- MATLAB.
- IBM Watson Studio.
- Google Cloud AI Platform.
- Amazon SageMaker.
- Google Cloud AutoML.
- RapidMiner.
- Azure Machine Learning Studio.
- RStudio.
Best Resources, Tutorials and Guide for TensorFlow?
There are some free resource where you can learn all the tools
Interview Questions and Answer for TensorFlow
- What is the main feature of TensorFlow?
Tensorflow has APIs support for a wide variety of languages such as Matlab and C++. Researchers are continuously trying to making it better.
- What is the meaning of TensorBoard?
TensorBoard is a Graphical User Interface (GUI) that is provided by TensorFlow to help users visualize graphs, plots, and other metrics easily without having to write a lot of code.
- What are the advantages of TensorFlow?
- It can be easily trained on CPU as well as GPU for distributed computing.
- It has auto differentiation capabilities.
- It has platform flexibility.
- It is easily customizable and open-source.
- It has advanced support for threads, asynchronous computations, and queues.
- Where can you run a TensorFlow?
- Operating System such as Windows, OS, and Linux
- Cloud Web Service
- Mobile OS like IOS and Android
Jobs & Salary Prospectus of TensorFlow skills
While ZipRecruiter is seeing annual salaries as high as $204,000 and as low as $94,000, the majority of Tensorflow salaries currently range between $104,500 (25th percentile) to $187,500 (75th percentile) with top earners (90th percentile) making $197,000 annually across the United States.
Best Certifications in TensorFlow
- DeepLearning.AI TensorFlow Developer Professional Certificate.
- TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning.
- TensorFlow in Practice Specialization (Coursera) .
- TensorFlow Data and Deployment Specialization (Coursera) .
- Deep Learning with TensorFlow 2.0 Certification.
Free Video Tutorials of TensorFlow
- DevOps Certified Professionals (DCP)
- Site Reliability Engineering Certified Professionals (SRECP)
- Master in DevOps Engineering (MDE)
- DevSecOps Certified Professionals (DSOCP)
URL - https://www.devopsschool.com/certification/
My Linkedin - https://www.linkedin.com/in/rajeshkumarin
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