Deep Learning

Day 1 – What is Deep Learning

• Hello World in Deep Learning
  • iris classification using Tensorflow
  • MNIST handwritten digits classification
• Neural Networks Basics

Day 2 – Gradient Descent

• What is Gradient Descent
• Math behind Gradient Descent
• Gradient Descent for Linear Regression
• Stochastic Gradient Descent
• Mini-batch Gradient Descent
• Gradient Descent for Logistic Regression

Day 3 – Perceptron from Scratch

• Linearly Separable data
• Activation Function
• Steps
  • Cost Function
  • Partial Derivatives
  • Update rules
  • Forward Propagation
  • Backward Propagation
  • Predict function
  • Initialize weights and hyper-parameters
  • Training
• Predict

Day 4 – Gradient Descent

• Hello World in Deep Learning
  • iris classification using Tensorflow
  • MNIST handwritten digits classification
• Neural Networks Basics