Week 10 2020 Fall

Homework:

• Watch some of these videos:

  • The 7 Steps of Machine Learning
  • But what is a Neural Network?
  • ml5.js: Train Your Own Neural Network
    • ml5.js: Train Your Own Neural Network (35 min)
    • ml5.js: Save Neural Network Training Data (12 min)
    • ml5.js: Save Neural Network Trained Model (11 min)
    • ml5: Neural Network Regression (10 min)

• Use ml5.neuralNetwork() to create your own Neural Network with new datasets from .json, .csv file or use realtime data like webcam, poses. Think about -

  • What is the question you are trying to use your Neural Network to answer, is it a classification or a regression problem?
  • What kind of data do you need?
  • What's the input and output of your Neural Network?
  • Does it work well? How can we improve this Neural Network?

• Add your blog/project link below

See demos live

• NeuralNetwork_Simple-Classification
• NeuralNetwork_Simple-Regression
• NeuralNetwork_XOR
• NeuralNetwork_basics
• NeuralNetwork_co2net
• NeuralNetwork_color_classifier
• NeuralNetwork_load_model
• NeuralNetwork_load_saved_data
• NeuralNetwork_lowres_pixels
• NeuralNetwork_multiple-layers
• NeuralNetwork_musical_face
• NeuralNetwork_musical_mouse
• NeuralNetwork_pose_classifier
• NeuralNetwork_titanic
• NeuralNetwork_xy_classifier

Resource:

• The 7 Steps of Machine Learning
• Tensorflow Playground
• Machine Learning Glossary
• ml5 Neural Network Reference
• ml5 Neural Network examples code
• Data Wrangling
• A list of datasets
• Dataset list

Add your name / link to your assignment below

• Your name, [Project name](Project Link), Project Description