CSCI 4050U
  • Home

  • Home
  • Data processing
    • Basics of NDArray
    • Vectorized Computation
    • Data Analytics Features of NumPy
    • Plots for machine learning
    • 04 Dataframe
    • Analytics with Pandas
  • Mathematical Background
    • Linear Algebra
    • Calculus and Derivatives
    • Optimization Using Gradient
    • PyTorch and Autograd
  • Fitting in 2D
    • Regression
    • Logistic Regression
    • Multi-layer Perceptron
  • Machine Learning
    • Overview of Machine Learning
    • Machine Learning Workflow
    • Advanced Training Loop (draft)
  • Network Architectures
    • 00 Encoding
    • 01 Conv
    • 02 Conv2
    • 03 Rnn
    • 04 Rnn2
    • 05 Sequence Learning
    • 06 Attention
  • Advanced Topics
    • ML
  • image encoding
    • pixels
    • channels
  • image transformation
  • token encoding
Advanced Training Loop (draft)
01 Conv