Deep Learning and Computer Vision - nsarrows

Deep Learning and Computer Vision

Description

This is what you will be learning in the course:

  • Introduction to ANN (Artificial Neural Networks)
    • Architecture of Neural Networks
    • Perceptrons
    • Weights and Bias
    • Hidden Layers
    • Forward and Backward Propagation
    • Optimisers
    • Loss Functions
    • Quiz
  • Deep Learning with sklearn
    • MLP Regressor
    • MLP Classifier
    • Kernel parameters and tuning
    • Case Study – Regression
    • Case Study – Classification
    • Quiz
  • Introduction to Tensor Flow 2.0 & Keras
    • Quiz
  • Convolutional Neural Networks (CNN)
    • Case Study – Hand written digit recognition
    • Quiz
  • Recurrent Neural Networks (RNN)
    • Case Study – 1
    • Quiz
  • Long-Short Term Memory (LSTM)
    • Case Study – 1
    • Quiz
  • Introduction to OpenCV package
    • Reading and writing images
    • Image Processing Techniques
    • Object Detection
    • Face Recognition
  • Master Quiz for Certification
  • Capstone Project for Certification

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