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Introduction to Deep Learning

Learn how to apply neural networks and deep learning techniques to develop innovative solutions.

Program Highlights

  • Live, online, certificate program for working professionals, taught by world-class faculty
  • Access to teaching assistants with prior industry experience
  • Certificate of completion offered by Carnegie Mellon University (Pittsburgh, USA)
  • Introduction to neural networks, machine learning and artificial intelligence
  • Hands-on learning & project work in a collaborative environment
  • Access to opportunities, network of academics, and other professionals in the field

Program Benefits

Learn directly from Carnegie Mellon University’s top faculty

Develop analytical and programming skills through practice and collaboration

Gain confidence and accelerate your career in the field of artificial intelligence

Build credibility by speaking the language of data science with ease

About the Program

"Deep Learning" systems, typified by deep neural networks, are increasingly taking over all AI tasks, ranging from speech and language understanding, image recognition, and machine translation, to financial prediction and planning, and even game playing and autonomous driving. As a result, expertise in deep learning is fast changing from an esoteric desirable to a mandatory prerequisite in many advanced academic settings, and a large advantage in the industrial job market.

In this program we will learn about the basics of deep neural networks, and their applications to various AI tasks. By the end of the program, it is expected that students will have significant familiarity with the subject and be able to apply Deep Learning to a variety of tasks. They will also be positioned to understand much of the current literature on the topic and extend their knowledge through further study.

The online program for deep learning will span 10 weeks with LIVE online, collaborative lectures covering different subareas in each week. They will be combined with assignments and project work to be completed by individuals and in groups.

Lecture topics:

Introduction to Neural Networks

  • A brief introduction with history
  • Neural networks as a universal approximator

Concepts behind training neural networks

  • The problem of training
  • Gradient descent techniques and backpropagation
  • Convergence issues and speed of training
  • Incremental updates and second order methods
  • Regularization and other tricks of the trade

Convolutional neural networks

  • Scanning with neural networks
  • Convolutional neural networks in detail
  • Training CNNs and transpose convolutions

Recurrent neural networks

  • Analyzing time series data with neural nets
  • Stability and convergence
  • Training recurrent nets
  • Connectionist temporal models
  • Attention models

Labs:

Lab A

  • Building your own MLP from scratch
  • Building your own CNN from scratch
  • Building your own recurrent network

Lab B

  • Training a large MLP
  • Face identification and recognition
  • Speech recognition sequence-to-sequence
    conversion

Advance your knowledge about deep neural networks through this online certificate program with cutting-edge content offered in association with Carnegie Mellon University, and see how it is applied in industry practice.

How to apply Download brochure
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Program Technicalities’ card

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Required Qualification:

  • BTech/MTech degree in Computer Science, Engineering, or a related subject
  • Min. 3 years professional work experience
  • Knowledge of programming languages such as Java, C, C++, Python
  • Understanding of the internet, computer systems and networks
  • Ability to work independently and in teams
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Duration:

10 weeks

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Delivery Format

Live virtual interactive lectures

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Language of Instruction

English

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Start Date

Oct 5, 2020 to Dec 18, 2020

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Fees

Rs. 3,19,000 + GST

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Application Form

About Prof. Bhiksha Raj, Carnegie Mellon University (CMU)

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Our educational training program, Introduction to Deep Learning, will be conducted by Professor Bhiksha Raj, Language Technologies Institute, School of Computer Science. On the successful conclusion of this training program, every learner will be awarded a prestigious certificate by Carnegie Mellon University (CMU).

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At Turnkey Learning, we believe true achievers nurture a passion for lifelong learning. For them, we bring value-adding programs from globally renowned universities.

We serve as a bridge to seamlessly connect learners to educators and create an experience that offers the following:

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Practical, hands-on, LIVE online
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Small class sizes with on-demand
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Collaborative knowledge-sharing
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Use of cloud platforms to
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Weekly office hours with faculty and
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Certificate of completion from
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