Deep Learning Certification Course

Master the concepts of Deep Learning with experts from IIT

Created By: Akshat Goel and Palash Goel

Course Duration : 2 Month

₹14,999

169 Ratings | 167 Enrollments

Includes

  • Complete contextual videos

  • On-demand One to One Mentorship

  • Industry based Live Projects

  • Hard & Soft copy of certificate of completion

What will I learn?

  • Complete knowledge of Neural Networks

  • Build 7 awesome projects using Deep Learning

  • Complete understanding of using the latest cutting edge AI models and concepts

  • Ability to use the best algorithm on the basis of the problem statement provided

Description

AI (artificial intelligence) is the simulation of human intelligence processes by machines, especially computer systems. These processes include learning (the acquisition of information and rules for using the information), reasoning (using the rules to reach approximate or definite conclusions) and self-correction.

Recently, with the advances in the power of computers and easy & large amount of access to the information, it has been made possible to run special algorithms on these tufts of data!

These algorithms are practically parallel human minds, which are able to "think" and compute stuff! This is artificial intelligence!

Deep learning architectures such as deep neural networks, deep belief networks, recurrent neural networks and convolutional neural networks have been applied to fields including computer vision, speech recognition, natural language processing, audio recognition, social network filtering, machine translation, bioinformatics, drug design, medical image analysis, material inspection and board game programs, where they have produced results comparable to and in some cases superior to human experts.

However, life is all about approximations. The recent advancements made in these approximation algorithms and these algorithms which are okay with limited data on the parameters affecting the outcome of a problem have made it possible for computers to defeat humans in chess or in the game of "Go".

With many Deep Learning models, Artificial intelligence already impacts many aspects of our daily lives at work, at home, and as we move about. Over the next decade, the annual Global AI enterprise software revenue will grow from $644 million in 2016 to nearly $39 billion by 2025, and services related revenue should reach almost $150 billion. That proves, Future is AI. 

You need to have knowledge of Machine Learning Algorithms in order to do this course. For a complete course on AI from the basics go to Minor Degree Program in AI 

For any doubts or concerns please contact the educator of the course Mr Ritesh (+91-9711608586)

Details related to Guaranteed Internship:

i) Why? - We believe acquiring a new skill without working on an actual project is wasteful spending of your time and resources. For your holistic learning experience, both course and internship should be combined.

ii) Who? - An internship is guaranteed by Eckovation to all Eckovation Alumni - those who complete at least a course with us.

iii) Where? - The internship will be either with Eckovation or one of our partner organisations. You will be able to access internship.eckovation.com once you register for a course with us. Our Internship Portal will feature profiles of our alumni and also list internship opportunities by various organisations where alumni can apply.

iv) How many? - The internship will be related to the skill(s) which you've acquired from Eckovation platform. In the case of multiple skills, multiple internship opportunities may be provided.

v) Nature of internship? - The internships will be work from home, i.e., you will be able to work on the internship project from anywhere anytime.

vi) When? - The internship will start only after your course completion in either Summer/December Vacation depending on which comes first. In-semester internships can also be considered on a case-by-case basis.

vii) Certificate - A separate internship certificate will be provided at the end of the internship period. course description

Curriculum

Introduction to Deep Learning

  • Overview of the course

  • Revision of Python and ML

  • Introduction to Neural Networks and Deep Learning

Artificial Neural Network

  • Neurons

  • Layers

  • Fully Connected Layer

  • Weights

  • Biases

  • Forward Pass

  • Activation Functions

  • Back Propagation

  • Optimizers: Adam, SGD, Adamax

  • Interference and Validation

  • Overfitting in neural networks

  • Dropout layer

  • Freezing model

ANN Project- MNIST dataset

  • MNIST dataset is famous for its ability to train a model to identify numbers in a particular text. It is the Hello World program of computer vision. Our project here will be Hindi hand writing recognition with the help of such dataset.

Convolutional Neural Network

  • Convolution Operation

  • Filters: Vertical Edge detector

  • Horizontal edge detector

  • Gaussian Filter

  • Combining filters for complex features

  • Convolutional layers

  • Pooling layer

  • Flatten

  • Batch Normalization

  • Dropout

  • Concatenate

  • Data Augmentation

  • Classification using neural networks

  • Transfer Learning

  • Popular Architectures

  • LeNet

  • AlexNet

  • GoogleNet/Inception

  • VGGNet

  • ResNet

CNN Project- Neural Style Transfer

  • Neural Style Transfer is an open source project where people are able to replicate classic painting styles on their modern age images. It's like using the viral old age filter in FaceApp or create van Gogh painting of your neighbourhood. This project will help you create different effects with any image

Recurrent Neural Network

  • RNNs

  • LSTMs

  • GRUs

  • Bidirectional RNN

  • Attention model

  • RNN for NLP

RNN Project- Image Caption Generator

  • Instagram is a famous image sharing platform. But a simple image is not enough, you need to have a caption for it to make it look as well as sound cooler. But coming up with cool captions is not always possible on our own. This project will create a program that will generate relevant captions based on your image. Similar programs are in use in the marketing and publicity industry for few years now and having mid blowing captions will make your Insta profile 100 steps ahead of others.

Generative Adversarial Networks

  • Autoregressive models

  • Variational Autoencoders

  • DCGAN

  • StyleGAN

GANs Project- Fake Face Generator

  • thispersondoesnotexist.com This is a famous website where it shows you pictures of different people. But the catch is, these people does not exist in the real world. They are fake images created by combining multiple images. Though looks like a work of photoshop, this is very complex project and being able to replicate it will get your name in the list top AI experts in the country.

Capstone Projects 1 - PoseNet

  • PoseNet is an open source project where the computer identifies your current pose. These poses can be recorded and later used for different purposes. For example, you can use your different actions to control your computer. Play or Pause a video with wave of your hand.

Capstone Projects 2 - Text Summarization

  • Writing a summary is very important, whether it is report or a story or a news. Not everybody wants to read multiple pages long reports. But writing a good summary is not everybody's forte. This program will help you in that. Best example for this is Inshorts app which gives news in 60 words or less.

About Instructors

Akshat Goel

CTO, Eckovation

An IIT Delhi graduate and an acclaimed software engineer.

He has over 8 years of programming experience and has worked in major companies like DeNA, Japan etc. 

Over the last decade, he has worked with multiple AI Based technologies.

Palash Goel

IIT Alumni, Senior Data Scientist at Quaero

Data Scientist, having experience of 6 years of indutrial experience from companies like Make My Trip, AXA etc.

Reviews

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FAQ

Is this course provided by Eckovation or IIT?

This course has been taught by IIT Alumni working with Eckovation. We do not have any collaboration with any IIT for this course.

What are the modes of payments available?

You can make the due payment via netbanking, debit cards, credit cards or online wallet.

Can cash payment be done for courses?

Cash payment facility is not available. Only online transactions are accepted.

When will the classes commence?

The course contains on-demand recorded lectures run on a batch basis. You can access all the videos as soon as you have completed your payment for the course.

The course is provided on a batch basis but access is for lifetime. What does this mean?

All the courses have mentors in it to help the students clear doubts and have smooth learning. The mentors will be only available in a course for the duration of the batch and not after the batch is over. The access to the videos and assignments will remain with the user indefinitely.

How do I enrol in the course?

You can directly click on the Enrol Now button given above to start the enrolment process.

What is the payment structure?

The payment for the course can be made through Credit Card, Debit Card, Net Banking. One can either complete the process with direct on-time payment or with equal monthly instalments.

What does seat booking or token amount mean?

Seat booking or token amount is a non-refundable amount to be paid to book your slot in the batch so that you can pay the total fee on later due date and not worry about missing the batch seat, which are on first come first serve basis.

What should I expect once the enrollment is complete?

Once the enrolment is done, you will receive an email from Eckovation stating all the directions of how to proceed further and what to expect before and during the course.

What if I do not want to continue the course after I have made my payment?

If you do not wish to continue the course you can ask for a refund within 7days of payment or commencement of the course, whichever is later. For Instalments, once the refund deadline is over, there won’t be any refunds, including future pending EMIs.

How much time do I have for completing my final project?

The course lectures will be for 8 months. You will have 2 months duration after that to submit your final project for evaluation.

How will the placement assistance work?

The placement assistance will be provided to the students who successfully complete the course. We will help you build your resume as per the course's job profile, take mock interview sessions and get you interviews in various companies.