README.md

Deep Learning demos and experiments.

• Pseudo Labeling
• Applications and Demo of Functions
  • Classification using Keras: Keras Classification example using
    • Sequential model
    • Functional API
  • Regression using Keras: Keras Regression example using
    • Sequential model
    • Functional API
  • Linear regression using Keras:
    • Linear regression in sklearn v.s. Keras.
    • Validation data in Keras
    • Getting coefficients (weights) in Keras.
  • MNIST using Keras: CNN example.
  • Collaborative Filtering using Keras
  • RNN using Keras
  • RNN on South Park scripts
  • Time Series using Keras
  • Keras Early Stopping
  • Theano Tutorial
• Inside Keras
  • Inspect Keras Model
  • Number of Layer Parameters: Demo to verify the number of paramters of layers in Keras models.
  • Keras Linear Algebra: Some Keras actions translated to linear algebra operations.
    • Dense layer
    • Merge
    • Timedistributed layer
  • Keras TimeDistributed Layer: Demo how Keras TimeDistributed Layer works.
  • Keras models.Input v.s. layers.Input: A peak at a corner of Keras code organization.

For setting up deep learning environement, see here.

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