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TensorFlow Training

5 ( 1059 Learners)

Get Your Dream Job With Our Tensorflow Training

30+ Hrs

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Advanced Interactive

Tensorflow Course Overview

TensorFlow is an open source library for numerical computing and large-scale machine learning. TensorFlow blends plenty of machine learning and deep learning (aka neural networking) models and algorithms and makes them useful by way of a simple metaphor.

HKR delivers the best industry-oriented tensorflow training course that is in line to clear the certification exams. Our course covers all the key concepts such as key fundamentals of tensorflow, tensorflow concepts, deep learning, neural networks, CNN and RNN, etc. During the training period, you can get full support and real-time project assistance from experienced professionals. Enroll today at HKR for accepting the new challenges to make the best out of our tensorflow online training.


To apply for the Tensorflow Training, you need to either:

  • You need to have good knowledge on databases like SQL for retrieving and manipulating the data.
  • You should have a good understanding on data modelling techniques and data warehousing concepts like data integration and ETL

Tensorflow Course Content

The Tensorflow course curriculum is structured to streamline the learning process by a team of experts. You can find the complete course details in below-mentioned modules

1.1 A soft introduction to ML

1.2 Artificial neural networks

1.3 ML versus DL

1.4 DL neural network architectures

1.5 Available DL frameworks

2.1 TensorFlow computational graph

2.2 TensorFlow code structure

2.3 TensorFlow data model

2.4 Visualizing computations through TensorBoard

2.5 Linear regression and beyond

3.1 Implementing a feedforward network

3.2 Implementing a multilayer perceptron

3.3 Tuning hyperparameters and advanced FFNN

4.1 Main concepts in CNN

4.2 CNN in action

4.3 Fine tuning implementation

4.4 Case Study on CNN

5.1 How does an autoencoder work?

5.2 How to implement an autoencoder

5.3 Improving autoencoder robustness

5.4 Building denoising autoencoders

5.5 Convolutional autoencoders

6.1 Working principles of RNNs

6.2 RNNs and the gradient vanishing-exploding problem

6.3 LSTM networks

6.4 Implementing an RNN

6.5 Case Study on RNN

7.1 GPU computing

7.2 The TensorFlow GPU setup

7.3 Distributed computing

7.4 The distributed TensorFlow setup

8.1 Recommendation systems

8.2 User-Based Collaborative Filtering

8.3 Item-Based Collaborative Filtering

8.4 FM-based recommendation systems

8.5 Case Study on Recommender Systems

Tensorflow Projects

Project 1

Handwriting Digit Recognition Using CNN With TensorFlow.

This project will help build a model using Convolutional Neural Network to recognize handwriting. Design and train convolutional n.....eural network models to classify images using TensorFlow & Keras. Read more

Project 2

Build A Time Series Model To Forecast Future Values Using LSTM

A time series is a sequence taken at successive equally spaced points in time. Thus it is a sequence of discrete-time data. Using .....Long-Short-Term-Memory (LSTM) build a time series model to forecast future values. Read more

Project 3

Build A Recommender System For A Retail Chain To Recommend The Right Products To Its Users

You do not need a market research team to know what your customers are willing to buy. Netflix is a big example, having used the recommender system to recommend movies to its viewers. Netflix estimated that its recommendation engine is worth a yearly $1billion. An increasing number of online companies are using recommendation systems to increase user interaction and benefit from the same.  Read more

Tensorflow Training Options


  • Interactive sessions
  • Learn by doing
  • Instant doubt resolution
  • Expert's Guidance
  • Industry-ready skills
Batch Start Date Time
Weekday 26-Jun - 26-Jul 09:30 AM IST
Weekend 30-Jun - 30-Jul 11:30 AM IST
Weekday 4-Jul - 3-Aug 01:30 PM IST


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  • Flexible timing
  • Personalized curriculum
  • Hands-on sessions
  • Simplified Learning

Exclusive learning from industry experts


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Our Learners

Harshad Gaikwad

Harshad Gaikwad

Practice Head

I had an insightful experience with HKR Trainings while participating in the ServiceNow ITOM (IT Operations Management) Training online. Engaging in instructor-led sessions, the trainer offered detailed insights into various ServiceNow ITOM modules and practices. Throughout the course, the support team was consistently available, and the trainer adeptly clarified all my inquiries, ensuring a comprehensive understanding of ServiceNow ITOM concepts.
Balaji Gnanasekar

Balaji Gnanasekar

IT Analyst

I had a comprehensive learning journey with HKR Trainings while undertaking the PostgreSQL Training online. Engaging in instructor-led sessions, the trainer delved deep into various PostgreSQL functionalities and best practices. Throughout the training, the support team remained attentive, and the trainer skillfully addressed all my questions, facilitating a solid grasp of PostgreSQL concepts.
Amit Singh

Amit Singh

Technical Lead - Service Now

I had a rewarding experience with HKR Trainings while delving into the ServiceNow ITOM (IT Operations Management) Training online. Engaging in instructor-led sessions, the trainer provided comprehensive insights into various ServiceNow ITOM modules and best practices. Throughout the course, the support team was consistently available, and the trainer adeptly addressed all my queries, ensuring a robust understanding of ServiceNow ITOM concepts.

Tensorflow Online Training Objectives

The TensorFlow training course benefits for the following list of professionals.

  • Data scientists.
  • Data analysts.
  • Statisticians who are interested in deep learning.
  • Those interested in computer vision, image restoration, text classification etc.
  • Those working with large datasets who want to simplify the effective analysis.
  • Software or Data Engineers who were interested in learning about Deep Learning.

  • Basic knowledge of programming preferably Python is better.
  • Familiarity with statistics, algebra, probability, and exposure to data science is preferred.

To start with the TensorFlow training course, you need to check with the best institute that delivers knowledge. Before proceeding to join any training, take suggestions from the experts who had already learned the course. We at HKR, with a team of industry experts, are ready to fulfil your dream career to achieve a job in desired companies.

Once you complete the entire course along with real-time projects and assignments, HKR delivers the course completion certification. This certification helps to get a job in any company very quickly.

Our trainers are highly qualified and certified with many years of industry experience with a technical background in TensorFlow.

Certification differentiates you from the non-certified peers, and you can demand the best salary in the leading companies.

We, at HKR, provide complete guidance to reach your dream job. But your job will be based on your performance in the interview panel and the recruiter requirements.


Each and every class is recorded so if you missed any class you can review the recordings and clarify any doubts with the trainer in next class.

Yes, we don’t assure 100% placement assistance. We are tied up with some corporate companies so when they have a requirement we send your profiles to them.

Yes, we provide demo before starting any training in which you can clear all your doubts before starting training.

Our trainers are real-time experts who are presently working on a particular platform on which they are providing training.

You can call our customer care 24/7

Max of the students gets satisfied with our training if you are not then we provide specialised training in return.

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