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Master’s · Year 2

Deep learning architectures and research methodology.

  • 2 topics
  • 2 chapters
  • 4 min
  • 1 textbook

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2 topics

  1. 1

    Convolutional Neural Networks (CNN)

    Convolutional layers, filters, pooling and CNN architecture: how a network learns the spatial structure of images. You will meet LeNet and ResNet, data augmentation and transfer learning.

    Chapter 1. Deep learning2 min

  2. 2

    Choosing a Dissertation Topic and Literature Review

    The stages of choosing a dissertation topic, formulating a research question and hypothesis, and reviewing the literature. Learn to evaluate sources critically and follow research ethics.

    Chapter 2. Research methodology2 min

Master’s · Year 2: textbooks

Textbooks and study guides for this level.