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An Easy Introduction to Unsupervised Learning
You, This Course and Us
You, This Course and Us (2:38)
Source Code and PDFs
Datasets for all Labs
Installation
Install TensorFlow (6:24)
Install Jupyter Notebook (4:38)
Running on the GCP vs. Running on your local machine
Lab: Setting Up A GCP Account (6:59)
Lab: Using The Cloud Shell (6:01)
Datalab ~ Jupyter (3:00)
Lab: Creating And Working On A Datalab Instance (10:29)
Unsupervised Learning
Supervised and Unsupervised Learning (11:30)
Expressing Attributes as Numbers (5:33)
K-Means Clustering (15:14)
Lab: K-Means Clustering with 2-Dimensional Points in Space (8:51)
Lab: K-Means Clustering with Images (10:19)
Patterns in Data (3:19)
Principal Components Analysis (13:19)
Autoencoders (5:03)
Autoencoder Neural Network Architecture (9:04)
Lab: PCA on Stock Data - Matplotlib vs Autoencoders (14:15)
Stacked Autoencoders (4:27)
Lab: Stacked Autoencoder With Dropout (7:51)
Lab: Stacked Autoencoder With Regularization and He Initialization (6:14)
Denoising Autoencoders (1:26)
Lab: Denoising Autoencoder with Gaussian Noise (1:58)
Quiz 11: Unsupervised Learning
Lab: Stacked Autoencoder With Regularization and He Initialization
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