Deep Learning for Computer Vision

Following topics are covered as part of the course

• Introduction to Deep Learning
• Artificial Neural Networks (ANN)
  • Activation functions
  • Loss functions
  • Gradient Descent
  • Optimizer
• Image Processing
  • Convnets (CNN), hands-on with CNN
• Gradients and Back Propagation – Mathematics
  • Gradient Descent
  • Mathematics
• Image Processing  / CV – Advanced
  • Image Data Generator
  • Image Data Generator – Data Augmentation
  • VGG16 – Pretrained network
  • VGG16 – with code improvements
• Functional API
  • Intro to Functional API
  • Multi Input Multi Output Model
• Image Segmentation
• Pooling
  • Max, Average, Global
• ResNet Model
  • Resnet overview
  • Resnet concept model
  • Resnet demo
• Xception
  • Depthwise Separable Convolution
  • Xception overview
  • Xception concept model
  • Xception demo
  • Visualize Convnet filters