Data Brew by Databricks

Data Brew Season 2 Episode 4: Hyperparameter and Neural Architecture Search

May 13, 2021
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Episode notes
1
Introduction
00:00 • 2min
2
The Future of Machine Learning
02:08 • 3min
3
Using Hyperpramber Tuning Approaches to Make Better Predictions
04:46 • 3min
4
Basian Optimization
07:35 • 4min
5
The Search Space for Hyper-Patient Optimization Is Constrained by the Same Bounds
11:06 • 2min
6
How Does the Hyperband Approach Actually Differ From Basian Optimization?
12:46 • 2min
7
The Key Idea Behind Hyperband Is Early Stopping
14:53 • 4min
8
How to Improve Random Search for Hyperconber Tuning?
18:46 • 2min
9
Neural Architecture Search
21:04 • 3min
10
Architecture Search
24:16 • 3min
11
Noura Architecture Search Is a One and for All Approach
27:29 • 3min
12
The Journey, Not the Destination, Is Much More Enjoyable
30:37 • 3min