How to Chunk Data With Python For Machine Learning
Intro - How to Chunk Data With Python For Machine Learning
with Samuel_M|4 years experience
12833views
Intro - How to Chunk Data With Python For Machine Learning
Dec 23, 2019 | 5:05 PM1:2
Episode 1: Installation and Model Design
Dec 24, 2019 | 4:51 PM1:27:15
Episode 2: Model Design and Logic
Dec 24, 2019 | 4:51 PM43:30
Episode 3: Working with Different Images Formats
Dec 24, 2019 | 4:51 PM28:15
Episode 4: How to Create Results File For Kaggle
Dec 24, 2019 | 4:51 PM13:52
Episode 5: First Test for Batch Size
Dec 24, 2019 | 4:52 PM8:23
Episode 6: Results of Batch Size 128
Dec 24, 2019 | 4:52 PM2:
Episode 7: Results of Batch Size 256
Dec 24, 2019 | 4:52 PM2:44
Episode 8: Testing model without Batch Size
Dec 24, 2019 | 4:53 PM2:43
How to Chunk Data With Python For Machine Learning
- English
- Data Science
Deep Learning- Project length: 3h 10m
In this project, we'll cover how to work with Cat and Dog Images and feed them to a machine learning classifier in chunks also known as "batch sizes" in Keras. Using this we'll evaluate the efficiency with and without using this and also cover the basics of how Machine Learning works and how to feed data to the model.
Overview
Introduction
In this project, we'll cover how to work with Cat and Dog Images and feed them to a machine learning classifier in chunks also known as "batch sizes" in keras. Using this we'll evaluate the efficiency with and without using this and also cover the basics of how Machine Learning works and how to feed data to the model.
What are the requirements?
- Knowledge of Python
What is the target audience?
- Developers Interested in Machine Learning
- Developers Interested in learning how to chunk data with Python
Project Outline
The project outline explains what you will learn in each session