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TensorFlow in Data Science Institutes in Bangalore

Though there are many computer programming languages, the one that is most used in the field of TensorFlow in data science is Python. Since it is an easy language to learn, Python has been ranked as one of the most popular languages in this field. It is an open-source language with access to multiple libraries used for different projects. As you start using the language more and more for adding insights to the data in your day-to-day job, you will find yourself accessing some of these libraries for projects involving advanced statistical computing.

Python offers hundreds of online, open-source libraries for its users. All you need to do is visit these to use the tools from here and make your task easier than it looks. Though data scientists use many such Python libraries, one of them that deserves special mention is TensorFlow. Let’s know more about this library and how to learn to access this in the following sections.

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What is TensorFlow?

TensorFlow is an open-source machine learning platform, where you can find effective solutions to quicken your tasks. Thanks to the advanced tools in this platform, you can prepare data, build machine learning models, deploy the models on any device or cloud and implement machine learning operations so that you can keep the models up and running. 

This platform uses data flow graphs, where the nodes denote the mathematical operations and the edges of the graphs denote the data arrays of various dimensions (also known as tensors). These graphs can be used across devices and operating platforms. So, users of high-end servers and simple, mobile devices can use the tools of TensorFlow, without having to write the codes and again, thereby saving a lot of time & effort in the bargain.

Some of the interesting supporting features of the TensorFlow platform are:

TensorBoard:

You can visually oversee the training process through this feature. You can debug the program and check the performance of the models you have deployed, by constantly checking the graphs and metrics of TensorBoard.

Keras:

This is a very high-level application program interfaced used in TensorFlow. While TensorFlow already simplifies the process of creating models for various projects, the Keras API only adds to the efficiency, accuracy, and speed of the TensorFlow platform.

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Why do you need to use the TensorFlow library of Python?

TensorFlow is highly capable of creating and building models for various purposes such as NLP, identifying different formats of data (text, image, video and more), projects involving varying degrees of computational complexities and more. The operations of TensorFlow can be performed across different platforms and devices. 

When combined with the use of the highly efficient Keras API, TensorFlow can be used for different levels of acceleration platforms. One of the main factors that add credibility to TensorFlow is that Google, its original developer, still shows a lot of backing to its brainchild. Today, you will find many online hubs, backed by Google, and created by the community of Python developers, showcasing the different models they built and accelerated using TensorFlow.

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How long do you need to learn TensorFlow?

Like Python, learning TensorFlow is an ongoing process.  You can learn it in just about 1 to 2 months if you already have a strong knowledge of the fundamentals of Python programming, and if you have already worked with neural networks. However, if you want to get into this field, but don’t know anything about computer programming, don’t worry; you can find many online and offline courses offered by tensorflow in data science institutes in Bangalore to learn the core concepts of TensorFlow and use the tools effectively.

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TensorFlow Training Course –What to know?

TensorFlow training courses are usually a critical part of Deep Learning Courses. So when you want to learn TensorFlow, it is a good idea to enroll yourself in a deep learning course. Two such courses we recommend are:

Deep Learning Training Course (with Keras and TensorFlow) from Simplilearn

Course features

  • 90-day online bootcamp, giving you the flexibility to attend your online classes within this timeframe
  • Hands-on training on different projects & modules using TensforFlow and Keras platforms
  • Topics covered include Introduction to TensorFlow, Convolutional Networks, Recurrent Neural Networks, Restricted  Boltzmann Machines, Autoencoders, live classes on Deep Learning Modules using TensorFlow and Keras and practical projects
  • Should have basic knowledge of computer programming, math & statistical concepts,  and the latest trends in AI
  • Course Fee – Rs.22470

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Artificial Intelligence  & Deep Learning Course

Course Features

  • Course completion certificate from IBM
  • AI, Deep Learning, TensorFlow & Keras Modules covered in 80 hours of online & offline sessions, 100 hours of practical assignments and hands-on experience on 2 Capstone Live Projects
  • Topics covered include – Introduction to AI & Deep Learning, Python Libraries Basics, Machine Learning Primer, Math Basics, Deep Learning Primer, Perception Algorithm & Back Propagation Neural Network Algorithm, NLP, All types of neural networks, APIs, Autoencoders and their types, Chatbots using RASA and BERT, Explainable Artificial Intelligence and more
  • Job Placement Assistance 
  • Trainers are faculty from esteemed institutes like ISB, IIT and IIM
  • Course fee – Rs.47200

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Bottom Line

Bangalore is one of the biggest hubs of data science companies not only in India but in the world. Therefore, you will find a lot of training institutes offering you various tensorflow in data science courses at different prices. Always choose reputed brands like 360digiTMG or Simplilearn when enrolling yourself in a data science course.

Check the course content carefully to know if you are getting what you are signing up for. For example, if you have enrolled in a course to learn Tensorflow, you should be able to use the tools of TensorFlow for your projects at the end of the course. Never choose a training institute only based on the cost of its course. TensorFlow in data science and its related courses don’t come cheap. Always check the course content and other value-added features like the flexibility of online classes, quality of trainers, job placement assistance, after-sales support, access to online libraries, and others before choosing the course that suits your budget and time constraints the best.

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360DigiTMG – Data Science, Data Scientist Course Training in Bangalore

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Phone: 1800-212-654321
Email: enquiry@360digitmg.com