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Training Features: Classroom and Online Training | Online class video access | Projects | Resume Preparations | Mock-Interview by Industry Experts

Deep Learning Course Overview

Deep learning is a subset of machine learning in artificial intelligence (AI) that has networks capable of learning unsupervised from data that is unstructured or unlabeled. Also known as deep neural learning or deep neural network. 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. Advancements in deep learning are being seen in smartphone applications, creating efficiencies in the power grid, driving advancements in healthcare, improving agricultural yields, and helping us find solutions to climate change.

Deep Learning Certification Key Features

52hours of interactive session

Hands-on coding & Implementation of 4 web based applications

Money Back Guarantee

30 hours of instructor-led training

20+ assisted practices on all modules

5 lesson-end knowledge checks and 1 real-life course-end project

Course Fee


₹30,000.00

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AI & Deep Learning With Python Certification Training


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.

What skills you will learn with this Deep Learning course?

  • Understand the TensorFlow concepts from scratch and its main functions, operations.
  • Implement deep learning algorithms, understand neural networks.
  • Master in 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.
  • Differentiate between artificial intelligence, machine learning and deep learning.

Course Content
TensorFlow

  • TensorFlow Introduction
  • TensorFlow basic terminology like constant, placeholder & variable
  • TensorFlow Functions & Operations
  • An example with MNIST database of handwritten digits
  • Regression Example
  • TensorBoard
  • Modularity
  • Keras

Artificial Neural Networks

  • Introduction to Artificial Neural Networks
  • Perceptron Training Rule
  • Gradient Descent Rule

Deep Learning Applications

  • Image Processing
  • Natural Language Processing
  • Speech Recognition
  • Video Analytics

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Deep Learning Realtime Projects

Project 1

Lane Detection

This is part one of my deep learning solution for lane detection, which covers the limitations of my previous approaches as well as the preliminary data used.

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Project 2

Traffic Sign Detection

Traffic signs are an integral part of our road infrastructure. They provide critical information, sometimes compelling recommendations, for road users,

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Project 3

Face Mask Detection

In the background of the COVID-19 pandemic, institutions such as the academy suffer a great deal from practically closed globally if the current situation is not going to change.

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Deep Learning Exam & Certification

What do i need to do to unlock my silan Certificate?

Onlie Classroom:

  • Attend one complete batch of the Deep Learning Training Course
  • Successful completion and evaluation of any one of the given projects

Online Self-learning:

  • Complete 85% of the Deep Learning Certification course
  • Successful completion and evaluation of any one of the given projects

Do you provide any practice tests as a part of this Deep Learning course ?

Yes, we provide 1 practice test as part of our Deep Learning Training course to help you prepare for the actual certification exam. You can try this free Machine Learning Fundamentals Practice Test to understand the type of tests that are part of the course curriculum.

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Deep Learning Certification FAQs

Why Learn Deep Learning?

Among the various programming languages available in the market, Deep Learning has made its way to become one of the trending course which helps Better Career Opportunities and Growth, give Better Salaries, Lack of Deep Learning Skills is Plaguing Corporations, Deep Learning is just a shadow of Data Science. To take your career as high as you can’t even imagine.

Mention the key features of Deep Learning?

The key features of Machine Learning include:
The ability to perform automated data visualization
Automation at its best
Customer engagement like never before
The ability to take efficiency to the next level when merged with IoT
Accurate data analysis
Business intelligence at its best

What are the benfits of using Deep Learning training course in Bhubaneswar?

AI in the classroom allow teaching to be differntiated and personalised. We delivers customised lectures to each student, taking a significant work load of instructers and freeing them up to work one-on-one students.

Who delivers the Deep Learning Trainig?

Many courses are available in the market for Deep Learning training course, offered both in offline and online mode. However, SILAN SOFTWARE's Deep Learning training course is a comprehensive 2-month course covering all the aspects of data structures and algorithm.

Who should take this Deep Learning Certification Course?

Anyone should take this certification course with a degree holder.

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