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An Easy Introduction to Deep Learning on the Google Cloud
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)
TensorFlow Using Cloud ML Engine
A Taxicab Fare Prediction Problem (3:25)
Datalab (7:03)
Querying BigQuery (5:23)
Explore Data (6:03)
Clean Data (4:47)
Benchmark (5:44)
Using TensorFlow (8:22)
The Estimator API (8:47)
The Experiment Function (5:48)
Introduction to Cloud MLE (7:53)
Using Cloud MLE (8:05)
The Training Service (6:24)
The Prediction Service (7:53)
Quiz 13: Cloud ML Engine
TensorFlow on the Google Cloud
Running TensorFlow on the Cloud
Lab: Taxicab Prediction - Setting up the dataset (14:38)
Lab: Taxicab Prediction - Training and Running the model (11:22)
Quiz 12: GCP Basics
Feature Engineering and Hyperparameter Tuning
Feature Engineering to the rescue (1:04)
New Approach (6:43)
Dataflow Create Pipeline (7:10)
Dataflow Run Pipeline (5:04)
Feature Engineering (8:34)
Deep And Wide Models (9:16)
Hyperparameter Tuning (7:34)
Hyperparameter Tuning on the GCP (6:35)
Quiz 14: Feature Engineering and Hyperparameter Tuning
Datalab ~ Jupyter
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