Montreal - Canada - Deep Learning with Tensorflow Training & Certification

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Prog360 Classroom

477 Richmond


Montreal, Canada M5H


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Event description


What To Expect:

  • Mode of Delivery - The classes are held both online and in physical classrooms for Individual and Corporates.

  • Audience - We have a global audience that logs in to work hand in hand with our world-class instructors.

  • Certification - Available in 47+ Countries Prog360 Certification is accepted globally

  • Courses available across - USA, Europe, Africa & Middle East, Asia and Australia

What are the course objectives?

At the end of this course, you will be able to:

        • Understand the concepts of TensorFlow, its main functions, operations and the execution pipeline

        • Implement deep learning algorithms, understand neural networks and traverse the layers of data abstraction which will empower you to understand data like never before

        • Master and comprehend advanced topics such as convolutional neural networks, recurrent neural networks, training deep networks and high-level interfaces

        • Build deep learning models in TensorFlow and interpret the results

        • Understand the language and fundamental concepts of artificial neural networks

        • Troubleshoot and improve deep learning models

        • Build your own deep learning project

        • Differentiate between machine learning, deep learning and artificial intelligence


                          Deep Learning is one of the most exciting and promising segments of Artificial Intelligence and machine learning technologies. This deep learning course with TensorFlow is designed to help you master deep learning techniques and build deep learning models using TensorFlow, the open-source software library developed by Google for the purpose of conducting machine learning and deep neural networks research. It is one of the most popular software platforms used for deep learning and contains powerful tools to help you build and implement artificial neural networks.

                          Course Schedule

                          This course will be taught over 13 weekends starting on July 06, 2019

                          • Dates: July 06-07, 13-14, 20-21, 27-28 2019

                          • August 03-04, 10-11, 17-18, 24-25 2019

                          • September 07-08, 14-15, 21-22, 28-29 2019

                          • Saturday, Sunday every weekend

                          • 11am – 02pm PST (US Pacific Standard Time)

                          Why Is This Program Different:

                          • The Instructors - Our instructors are industry experts, people who have been there and done that. They not only encourage questioning but also give solutions that are practical and applicable at an enterprise level.

                          • The Practice - We provide an actual cluster for hands-on practicing. It removes the need to install virtual machines and makes learning easier and fun.

                          • The Curriculum - Created by industry experts to equip attendees to hit the ground running. Our interactive sessions along with the curated curriculum make starting a project at work or attending an interview or just upscaling your career a cake walk.

                          What you need for this training?

                          • A laptop and a stable Inernet connection.

                          Topic Coverage

                          • Introduction to TensorFlow

                          • Perceptrons

                          • Activation Functions

                          • Artificial Neural Networks

                          • Gradient Descent and Backpropagation

                          • Optimization and Regularization

                          • Intro to Convolutional Neural Networks

                          • Introduction to Recurrent Neural Networks

                          • Deep Learning applications

                          Who should take this program?

                          This Deep Learning With Tensorflow training course will be suitable for:

                                    • Developers aspiring to be a 'Data Scientist'

                                    • Analytics Managers who are leading a team of analysts

                                    • Business Analysts who want to understand Deep Learning (ML) Techniques

                                    • Information Architects who want to gain expertise in Predictive Analytics

                                    • Analysts wanting to understand Data Science methodologies

                                                                      For any enquiries you can always reach us at training@prog360.com or call us at +91 981-064-3989.

                                                                      Corporate Training Solutions also available.

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                                                                      Prog360 Classroom

                                                                      477 Richmond


                                                                      Montreal, Canada M5H


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