Table of Contents
Preface
Part 1 – Building a Minimum Viable Product
1
Effective Planning of Deep Learning-Driven Projects
Technical requirements
What is DL?
Understanding the role of DL in our daily lives
Overview of DL projects
Project planning
Building minimum viable products
Building fully featured products
Deployment and maintenance
Project evaluation
Planning a DL project
Defining goal and evaluation metrics
Stakeholder identification
Task organization
Resource allocation
Defining a timeline
Managing a project
Summary
Further reading
2
Data Preparation for Deep Learning Projects
Technical requirements
Setting up notebook environments
Setting up a Python environment
Installing Anaconda
Setting up a DL project using Anaconda
Data collection, ...
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