Deep Learning with Tensor Flow Training

Deep Learning with Tensor Flow Training Course

Our Deep Learning course will teach you the techniques in deep learning using TensorFlow. TensorFlow is an open-source software designed to conduct machine learning & deep neural network research. With this deep learning course, you’ll learn deep learning and TensorFlow concepts, learn to implement algorithms, build artificial neural networks and interprete layers of data abstraction to understand the power of data. Click on the buttons inside the tabbed menu to view details of this course:

Course Description

The Deep Learning program is designed to lead the participant to understand how this works and to successfully work in this domain.

There are multiple courses available to fit the requirement of students and working Professionals.

1. Deep Learning for students and professionals who want to understand Deep Learning and Tensor Flow.

2. A more intense Deep Learning for those intending to pursue a career in this domain  

What skills will the student gain?
After the completion of this course, the student will be able to:

  • Understand what is Deep Learning
  • ·   Learn about the use of Deep Learning
  • ·   Learn about the differences between Deep Learning, Artificial Learning and Machine Learning
  • ·  
  • ·  
  • ·  

Mode of Training

The Deep Learning training is delivered in the following modes - Regular Classroom, Fast-track and Online live trainer

Locations:

The training is offered in locations like Chennai, Bangalore, Kolkata, Mumbai and NCR.

To know more about the schedules in those cities click here -->

Schedule for Kolkata

Outside the country it is delivered in Dhaka, Thimpu, Singapore, Kuala Lumpur, Middle East, Africa and Australia.

The course outline delivered during the class is as follows -

This topic will Provide an introduction to TensorFlow and its use.

• What is TensorFlow?

• Computational Graph

• Key highlights

• Creating a Graph

• Regression example

• Gradient Descent

• TensorBoard

• Modularity

• Sharing Variables

• Keras

• What is a Perceptron

• XOR Gate

• Sigmoid

• ReLU

• Use of Hyperbolic Functions

• Softmax

• Introduction

• Perceptron Training Rule

• Gradient Descent Rule

• Gradient Descent

• Stochastic Gradient Descent

• Backpropagation

• Some problems in ANN

• Overfitting and Capacity

• Cross Validation

• Feature Selection

• Regularization

• Hyperparameters

• Intro to CNNs

• Kernel filter

• Principles behind CNNs

• Multiple Filters

• CNN applications

• Intro to RNNs

• Unfolded RNNs

• Seq2Seq RNNs

• LSTM

• RNN applications

• Image Processing

• Natural Language Processing

• Speech Recognition

• Video Analytics

  1. • Introduction to TensorFlow
  2. • Perceptrons
  3. • Activation Functions
  4. • Artificial Neural Networks
  5. • Gradient Descent and Backpropagation
  6. • Optimization and Regularization
  7. • Convolutional Neural Networks
  8. • Recurrent Neural Networks
  9. • Deep Learning applications

Schedule

If you are located outside Kolkata or would like to attend our session during your visit to Kolkata then please feel free to write us at palium.skills@gmail.com for any queries related to program,
upcoming schedule and fee. Call: +91-9051092035 or WhatsApp: +91-9051092035

Schedule for AWS Training in 2018 is as follows:
Month Dates No of Hours
January Completed
February Completed
March Completed
April Completed
May Completed
June Completed
July Completed
August 26th Aug (Fast-track) 30
September 4th - weekday, 23rd - fast-track 30
October TBA 30
November 4th - fast-track,6th - weekday 30
December 2nd - fast-track, 4th - weekday 30

Study Mode & Fees

Certification Name Delivery Mode Fees Special Offers
Deep Learning with Tensor Classroom Rs. 18,000+ 18% GST Discount for 3+ enrollments
Tensor Flow Training Classroom Rs. 9,000 + 18% GST Discount for 3+ enrollments and Deep Discount for 5+ enrollments
Deep Learning with Tensor Online live trainer Talk to us Discount for 3+ enrollments and Deep Discount for 5+ enrollments

FAQs

The commonly asked questions pertaining to Deep Learning training are -

Q: What are the pre-requisites for taking the Deep Learning course?

The requisites for this course are

A: Basic computer knowledge is required

Knowledge of Python

Basic knowledge of Machine Learning

Basic understanding of Statistics

Q: Will this be theoretical or hands-on?

A: This is a complete hands-on training where the trainer will demonstrate each feature and participants will follow and do the same on the system.

Q: How will I get access to the system?

A: After you enroll, you will be guided on how to access the system.

Q: Will I incur any charges for accessing the application?

A: The standard features are available for free. There are some premium services for which charges maybe imposed by Amazon.

Q: What if I have doubts after completing the class?

A: You can gather your doubts and come by prior appointment to get your doubts cleared.

Q: Is there any official Certification Exam?

A: No, there is no Certification Exam

Q: Will I receive a certificate for the course?

A: Yes, participants receive a certificate after completing the course provided they have attended 90% of the class.

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A Few Things You’ll Love!

  • Accredited Training Partner
  • Certified & Industry Experts Trainers
  • Multiple Training Delivery Models
  • Customized Course
  • 24/7 e-Learning Access
  • Assessments and Mock Tests
  • Placement Assistance

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