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An Easy Introduction to Unsupervised Learning
You, This Course and Us
You, This Course and Us
Source Code and PDFs
Datasets for all Labs
Installation
Install TensorFlow
Install Jupyter Notebook
Running on the GCP vs. Running on your local machine
Lab: Setting Up A GCP Account
Lab: Using The Cloud Shell
Datalab ~ Jupyter
Lab: Creating And Working On A Datalab Instance
Unsupervised Learning
Supervised and Unsupervised Learning
Expressing Attributes as Numbers
K-Means Clustering
Lab: K-Means Clustering with 2-Dimensional Points in Space
Lab: K-Means Clustering with Images
Patterns in Data
Principal Components Analysis
Autoencoders
Autoencoder Neural Network Architecture
Lab: PCA on Stock Data - Matplotlib vs Autoencoders
Stacked Autoencoders
Lab: Stacked Autoencoder With Dropout
Lab: Stacked Autoencoder With Regularization and He Initialization
Denoising Autoencoders
Lab: Denoising Autoencoder with Gaussian Noise
Quiz 11: Unsupervised Learning
Lab: Stacked Autoencoder With Dropout
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