Loading

(5) | 974 Learners | 25 Hrs

Home / Courses / TensorFlow Training

TensorFlow Training



TensorFlow Training Overview

Course Duration 25 hrs
Training Options Live Online / Self-Paced / Classroom
Live Projects 4
Certification Pass Guaranteed

TensorFlow online training course makes you understand how Neural Networks work. The best libraries to implement Deep learning are TensorFlow and this software library that uses mathematical expressions for numerical computation. The creator of TensorFlow is Google for machine learning and it is used in developing solutions with Deep Learning. TensorFlow models are used in the real world on mobile devices in the cloud and browsers. Learning of TensorFlow online course will equip you with the skills with which you can create your own AI applications.

TensorFlow Training Course Objective

TensorFlow Training will help you in using TensorFlow framework to create artificial neural networks for Deep learning. After TensorFlow Online Training you will acquire knowledge on Time Series Analysis with Recurrent Neural Networks, you will understand how to create Generative Adversarial Networks, and you can build your own Neural Network with Python. In TensorFlow Classroom and Online Training course, you will learn the basic concepts of TensorFlow, the main functions, operations, and execution and there are different types of Deep Architectures like Convolutional Networks, Recurrent Networks, and Autoencoders which will be covered in the TensorFlow course. Requirements to learn TensorFlow Training course is you should have knowledge of Python programming.

TensorFlow Training Course Curriculum

Deep Learning: A revolution in Artificial Intelligence Limitations of Machine Learning Discuss the idea behind Deep Learning Advantage of Deep Learning over Machine learning 3 Reasons to go Deep Real-Life use cases of Deep Learning Scenarios where Deep Learning is applicable The Math behind Machine Learning: Linear Algebra Scalars Vectors Matrices Tensors Hyperplanes The Math Behind Machine Learning: Statistics Probability Conditional Probabilities Posterior Probability Distributions Samples vs Population Resampling Methods Selection Bias Likelihood Review of Machine Learning Algorithms Regression Classification Clustering Reinforcement Learning Underfitting and Overfitting Optimization Convex Optimization
Defining Neural Networks The Biological Neuron The Perceptron Multi-Layer Feed-Forward Networks Training Neural Networks Backpropagation Learning Gradient Descent Stochastic Gradient Descent Quasi-Newton Optimization Methods Generative vs Discriminative Models Activation Functions Linear Sigmoid Tanh Hard Tanh Softmax Rectified Linear Loss Functions Loss Function Notation Loss Functions for Regression Loss Functions for Classification Loss Functions for Reconstruction Hyperparameters Learning Rate Regularization Momentum Sparsity
Defining Deep Learning Defining Deep Networks Common Architectural Principals of Deep Networks Reinforcement Learning application in Deep Networks Parameters Layers Activation Functions – Sigmoid, Tanh, ReLU Loss Functions Optimization Algorithms Hyperparameters Summary
What is TensorFlow? Use of TensorFlow in Deep Learning Working of TensorFlow How to install Tensorflow HelloWorld with TensorFlow Running machine learning algorithms on TensorFlow
Introduction to CNNs CNNs Application Architecture of a CNN Convolution and Pooling layers in a CNN Understanding and Visualizing a CNN Transfer Learning and Fine-tuning Convolutional Neural Networks

Module 1: About Deep Learning

  • What is Deep Learning?
  • Limitations of Machine Learning
  • What is the idea behind Deep Learning?
  • Advantage of Deep Learning over Machine learning
  • What are the 3 Reasons to go Deep?
  • Concepts of Linear Algebra

                 o   Scalars

                 o   Vectors

                 o   Matrices

                 o   Tensors

                 o   Hyperplanes

  • Concepts of Statistics

                o   Probability

                o   Conditional Probabilities

                o   Posterior Probability

                o   Distributions

                o   Samples vs Population

                o   Resampling Methods

                o   Selection Bias

                o   Likelihood

  • Machine Learning Algorithms

               o   Regression

               o   Classification

               o   Clustering

  • Reinforcement Learning
  • Underfitting and Overfitting
  • Optimization
  • Convex Optimization

Module 2: Learning the Fundamentals of Neural Networks

  • Definition of Neural Networks
  • What is Biological Neuron?
  • What is Perceptron?
  • Multi-Layer Feed-Forward Networks
  • Training on Neural Networks
  • Learning of Backpropagation 
  • Gradient Descent
  • Stochastic Gradient Descent
  • Quasi-Newton Optimization Methods
  • Generative vs Discriminative Models
  • Activation Functions
  • Linear
  • Sigmoid
  • Tanh
  • Hard Tanh
  • Softmax
  • Rectified Linear
  • Loss Functions

                 oLoss Function Notation

                 oLoss Functions for Regression

                 oLoss Functions for Classification

                 oLoss Functions for Reconstruction

  • Hyperparameters
  • Learning Rate
  • Regularization
  • Momentum
  • Sparsity

Module 3: Deep Networks Fundamentals

  • Definition of Deep Learning
  • Definition of Deep Networks
  • Architectural Principals of Deep Networks
  • Reinforcement Learning application in Deep Networks
  • Parameters
  • Layers
  • Activation Functions – Sigmoid, Tanh, ReLU
  • Loss Functions
  • Optimization Algorithms
  • Hyperparameters

Module 4: About TensorFlow

  • What is TensorFlow?
  • Use of TensorFlow in Deep Learning
  • Working of TensorFlow
  • How to install Tensorflow
  • HelloWorld with TensorFlow
  • Running machine learning algorithms on TensorFlow

Module 5: About Convolutional Neural Networks (CNN)

  • About CNN
  • CNN Application
  • The architecture of a CNN
  • Convolution and Pooling layers in a CNN
  • Understanding and Visualizing a CNN
  • Transfer Learning and Fine-tuning Convolutional Neural Networks

Conclusion:

CA Software Technologies (CAST) is the most alleged training institute in India which provides complete TensorFlow classroom, corporate, online training, and certification program with real-time projects.  Enrich your career skills by opting TensorFlow training course at CAST and get access to live interactive sessions, industry-specific scenarios, recording sessions, and other benefits.

TensorFlow Training Options

For Corporates

Live Instructor Led TensorFlow Training
  • Live Presentation of theory and demonstration of features and tasks of the Denodo
  • Learn as per a daily schedule.
  • You get recordings of each training session that you attend.
  • Clarify doubts at the beginning of each training session.
  • Delivered through Goto Meeting.
  • Completely Customizable Course Content & Schedule.
  • Certification Guidance Provided.
TensorFlow Training Classroom Training
  • F2F interactive presentation of theory and demonstration of features and tasks of the Denodo
  • Learn as per full day schedule with discussions & exercises.
  • No recordings available, however you can choose self-paced video if needed.
  • Doubts Clarifications.
  • Delivered through F2F as trainer conducts the training at your facility.
  • Completely Customizable Course Content & Schedule.
  • Certification Guidance Provided.
Self Paced Learning
  • High Quality videos built by industry experts with theory and demonstration of features and tasks of the Denodo
  • Learn at your Convenience.
  • You get pre-defined recordings.
  • Delivered through LMS.
  • Fixed Course Content.
  • Certification Guidance Provided.

TensorFlow Training Upcoming Batches

Mon-28-2022

IST: 6 to 7 AM & PM,
IST: 7 to 8 AM & PM,
IST: 8 to 9 AM & PM,
IST: 9 to 10 AM & PM,
Tue-29-2022

IST: 6 to 7 AM & PM,
IST: 7 to 8 AM & PM,
IST: 8 to 9 AM & PM,
IST: 9 to 10 AM & PM,
Wed-30-2022

IST: 6 to 7 AM & PM,
IST: 7 to 8 AM & PM,
IST: 8 to 9 AM & PM,
IST: 9 to 10 AM & PM,
Thu-01-2022

IST: 6 to 7 AM & PM,
IST: 7 to 8 AM & PM,
IST: 8 to 9 AM & PM,
IST: 9 to 10 AM & PM,
Fri-02-2022

IST: 6 to 7 AM & PM,
IST: 7 to 8 AM & PM,
IST: 8 to 9 AM & PM,
IST: 9 to 10 AM & PM,


Sat-03-2022

IST: 6 to 7 AM & PM,
IST: 7 to 8 AM & PM,
IST: 8 to 9 AM & PM,
IST: 9 to 10 AM & PM,
Sun-04-2022

IST: 6 to 7 AM & PM,
IST: 7 to 8 AM & PM,
IST: 8 to 9 AM & PM,
IST: 9 to 10 AM & PM,
Sat-10-2022

IST: 6 to 7 AM & PM,
IST: 7 to 8 AM & PM,
IST: 8 to 9 AM & PM,
IST: 9 to 10 AM & PM,
Sun-11-2022

IST: 6 to 7 AM & PM,
IST: 7 to 8 AM & PM,
IST: 8 to 9 AM & PM,
IST: 9 to 10 AM & PM,
Sat-17-2022

IST: 6 to 7 AM & PM,
IST: 7 to 8 AM & PM,
IST: 8 to 9 AM & PM,
IST: 9 to 10 AM & PM,
Sun-18-2022

IST: 6 to 7 AM & PM,
IST: 7 to 8 AM & PM,
IST: 8 to 9 AM & PM,
IST: 9 to 10 AM & PM,
Sat-24-2022

IST: 6 to 7 AM & PM,
IST: 7 to 8 AM & PM,
IST: 8 to 9 AM & PM,
IST: 9 to 10 AM & PM,
Sun-25-2022

IST: 6 to 7 AM & PM,
IST: 7 to 8 AM & PM,
IST: 8 to 9 AM & PM,
IST: 9 to 10 AM & PM,


24/7

Pick any date from calender
Select your suitable day's of this month
Facielitating all, 365 day's for your best learning
Drop your valuable Request


comment-img
comment-img
comment-img

What our Customer say's

"Great explanation of concepts through live examples, this helped me to link the topics and understand the connect between various topics of Tibco Spotfire Admin. Excellent. Great learning experience.. Thanks a lot CAST!!"

Mr. Chandra

Certified Student

(4.5)

"Thank You for the sessions that helped me gaining knowledge in Spotfire. Trainers experience helped me to get detailed information regarding the key concepts and challenging tasks in real time. Thanks once again"

Mr. Arun

Certified Student

(4.5)

"The trainer of the casoftwaretechnologies.com is top rated customer provided the more useful information In Tibco Spotfire Admin Training than the normal which helped me to improve my skills.. Thanks to CA software technologies"

Mrs. Ramya

Certified Student

(4)

TensorFlow Training Certification !

Become a successful online learner

Upgrade to new skills and share your certificate of achievement with the community.

Fast track your career

Use the coveted certification to your advantage and charge up the corporate ladder.

Validate your learning

Receive the coveted certificate from CA Software Technologies

Cooming Soon

Features

Online guidance session or Instructor led course delivery online

24*7 delivery of learning through live lectures and demonstrations by industry experts. Weekend class: 8 sessions of 1 to 4+ hours each in Online Mentorship Mode

Hands-on experience with Real-time scenarios

End to end training with real-time practical exposure. Get to experience on projects using key progressive concepts.

Gauge learners understanding

Formative evaluation of the trainees at the end of each class.

Unlimited Online Access

You get Lifetime Unlimited Online Training Videos, presentations, installation guide to enhance your knowledge

7×24 technical support expertise

24/7/365 technical support with powerful ticket tracking system for life

Certification

Stay ahead of the game with our certificate after course completion

Assessments

Each class will be followed by a test to assess your learning.

Want to Become An Instructor?

Contact Us

Experts Available 24 x 7

+91 912 110 4115
info@casoftwaretechnologies.com

Enquiry Now
+91 912 110 4115
Experts Available 24 x 7