Try Keras
Learn how to build a neural network using Keras and Tensorflow to do Deep Learning!
We're going to be using Python to create an image classifier using Deep Learning.
This project will cover:
- Machine Learning with Deep Learning
- Train a neural network with Python and a cloud GPU
- Export a trained model for re-use in nearly any Python project
- Learn the basics about preparing a dataset for ML and Deep Learning
Requirements:
- Python experience (such as 30 Days of Python)
Lessons
1
Welcome
1:55
2
Demo
10:00
3
Requirements & Background
4:11
4
Getting Started with our first Dataset
5:23
5
Dataset Review
8:28
6
Relative Path to Local Absolute Path
3:32
7
Preview Random Image
9:20
8
Split Dataset into Train and Validation
10:47
9
Whats in the actual data?
11:06
10
Using a Pre-Trained Model
9:33
11
Our Model
6:12
12
Train our Model
5:33
13
Improve Training Speed & Save Model
8:28
14
Prediction on Custom Model
9:53
15
Model Prediction Function
7:26
16
Storing Model Metadata
1:40
17
Create a Reusable Module for Prediction
12:50
18
Create a Reusable Training Module
14:02
19
Export Entire Project to Google Drive
8:02
20
Thank you and next steps
2:54