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Course10610384347 lectures

Neural Networks for Computer Vision and Natural Language Processing

Prof Arijit Sur · IIT Guwahati

Start with lecture 1 At NPTEL

Lectures

Week 1: Introduction to Machine Learning

  1. Introduction to Learning Video
  2. Supervised Learning (Regression) Video
  3. Gradient Descent Video
  4. Logistics Regression Video

Week 2: Neural Networks

  1. Optimization for supervised models Video
  2. Neural Network - I (Single Layer Perceptron) Video
  3. Neural Network - II (Multi Layer Perceptron) Video
  4. Neural Network – III (Training of the Multi Layer Perceptron) Video

Week 3: Deep Learning

  1. Introduction to Deep Learning - I Video
  2. Introduction to Deep Learning - II Video
  3. Introduction to Deep Learning - III Video
  4. Computer Vision Through Machine Learning Video
  5. Natural Language Processing Through Machine Learning Video

Week 4: Convolutional Neural Network

  1. Convolutional Neural Network - I Video
  2. Convolutional Neural Network - II (Model Architecture) Video
  3. Optimizing Convolutional Neural Network Video

Week 5: Sequential Modelling

  1. Optimizing Convolutional Neural Network - II Video
  2. Optimizing Convolutional Neural Network - III Video
  3. CNN With Residual Connections - ResNet Video
  4. Recurrent Neural Network - I Video

Week 6: Sequential Modelling

  1. Recurrent Neural Network - II Video
  2. LSTM Video
  3. Sequential Modelling (Part - II) Video

Week 7: Generative Models

  1. Generative AI Video
  2. Generative Modelling Video
  3. Generative Adversarial Network Video
  4. Generative Adversarial Network - II Video

Week 8: Generative Models

  1. Variational Auto-Encoder - I Video
  2. Variational Auto-Encoder - II Video
  3. Diffusion Model - I Video
  4. Diffusion Model - II Video

Week 9: Trasformers

  1. Auto-Regressive Models Video
  2. Transormers - I Video
  3. Transormers - II Video

Week 10: Large Language Model

  1. Large Language Model - I Video
  2. Large Language Model - II Video
  3. Encoder only Transformer Model Video
  4. Decoder only Transformer Model Video

Week 11: Deep Learning Models for Vision Applications

  1. Deep Learning for Vision Applications Video
  2. Image and Video Restoration Video
  3. Medical Imaging Video
  4. Zero-shot Learning Video
  5. Few-shot Learning Video

Week 12: Multimodal Analysis and Self-Supervised Learning

  1. Multimodal Deep Learning Video
  2. Multimodal Deep Models Video
  3. Visual Simultaneous Localization and Mapping Video
  4. Self-Supervised Learning Video

Syllabus and materials

At NPTEL, as the course publishes them.

Credits and licence

Institution
IIT Guwahati
Department
Computer Science and Engineering
Teacher
Prof Arijit Sur
Level
Undergraduate
Language
English
Subjects
Computer science, Engineering
Source
NPTEL
Licence
CC BY-NC-SA, as NPTEL states it. Non-commercial use only. NPTEL's terms
Attribution
NPTEL states: "Distributed under Creative Commons Attribution-ShareAlike / CC BY - NC - SA", beside a BY-NC-SA badge.
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