In this tutorial, you'll learn how to build a Deep Audio Classification model with Tensorflow and Python!

Get the code: https://github.com/nicknochnack/DeepAudioClassification

Get the data: https://www.kaggle.com/kenjee/z-by-hp-unlocked-challenge-3-signal-processing

Chapters
0:00 - START
1:22 - CLIENT CALL 1
2:00 - Breakdown Board
5:47 - MISSION 1
11:00 - Install and Import Dependencies
12:56 - Build a Dataloading Function
19:56 - MISSION 2
20:45 - Create Tensorflow Dataset
28:12 - Determine Average Call Length
32:11 - Build Preprocessing Function
41:41 - MISSION 3
42:22 - Create Training and Testing Partitions
45:52 - Build Deep CNN Model
54:09 - Classifier Audio Clips
58:13 - MISSION 4
59:18 - Build Forest Parsing Function
1:10:34 - Predict All Files
1:14:55 - MISSION 5
1:15:16 - Export Results to CSV

Oh, and don't forget to connect with me!
LinkedIn: https://bit.ly/324Epgo
Facebook: https://bit.ly/3mB1sZD
GitHub: https://bit.ly/3mDJllD
Patreon: https://bit.ly/2OCn3UW
Join the Discussion on Discord: https://bit.ly/3dQiZsV

Happy coding!
Nick

P.s. Let me know how you go and drop a comment if you need a hand!
#deeplearning #python