AI 2:

AI 2: Convolutional Neural Networks

This module will take you from refreshing the basics of AI/ML from AI-1 to topics such as convolutional neural networks, auto-encoders and generative adversarial networks. It starts with an introduction of neural networks and it covers the key concepts such as feed forward neural networks, backpropagation, regularization and optimization. Further along the course you will deep dive into convolutional neural networks and learn how to implement transfer learning in neural networks and end with auto-encoders and generative adversarial networks.

  • Know This First or equivalent
  • AI 1
  • Introduction, Review of  Feed Forward Network Networks (Network Architecture and Design Choices)
  • Backpropagation and Optimizers
  • Regularization for Neural Networks, Early Stopping, Data Augmentation, Dropout, and Batch Normalization
  • Convolutional Neural Networks: Basic Concepts and Architectures
  • Convolutional Neural Networks: Receptive Fields, Strides and Saliency Maps
  • Convolutional Neural Networks: State of the Art CNNs
  • Neural Net Transfer Learning
  • Compression and Distillation
  • Auto-encoders
  • Generative Adversarial Networks

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

  1. Implement and deploy image recognition and object classification.
  2. Have a deep understanding of machine learning and deep learning, and thus be able to read papers, and self-learn more advanced tasks and topics in machine learning and deep learning.

Prerequisites

Topics

Learning Objectives

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Schedule

Students

Summer Cohort

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Conducted alongside elective

Winter Cohort

Intake 1:

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Conducted along with elective

Intake 2:

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Conducted along with elective

Working Professionals

Summer Cohort

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Lorem ipsum dolor sit amet, consectetur adipiscing elit. Suspendisse varius enim in eros elementum tristique. Duis cursus, mi quis viverra ornare, eros dolor interdum nulla, ut commodo diam libero vitae erat. Aenean faucibus nibh et justo cursus id rutrum lorem imperdiet. Nunc ut sem vitae risus tristique posuere.

Conducted along with elective

Fall Cohort

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Lorem ipsum dolor sit amet, consectetur adipiscing elit. Suspendisse varius enim in eros elementum tristique. Duis cursus, mi quis viverra ornare, eros dolor interdum nulla, ut commodo diam libero vitae erat. Aenean faucibus nibh et justo cursus id rutrum lorem imperdiet. Nunc ut sem vitae risus tristique posuere.

Conducted along with elective

Winter Cohort

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Suspendisse varius enim in eros elementum tristique. Duis cursus, mi quis viverra ornare, eros dolor interdum nulla, ut commodo diam libero vitae erat. Aenean faucibus nibh et justo cursus id rutrum lorem imperdiet. Nunc ut sem vitae risus tristique posuere.

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Lorem ipsum dolor sit amet, consectetur adipiscing elit. Suspendisse varius enim in eros elementum tristique. Duis cursus, mi quis viverra ornare, eros dolor interdum nulla, ut commodo diam libero vitae erat. Aenean faucibus nibh et justo cursus id rutrum lorem imperdiet. Nunc ut sem vitae risus tristique posuere.

Conducted along with elective