In this tutorial, you'll learn how to build a Deep Audio Classification model with Tensorflow and Python!
Get the code: [ Ссылка ]
Get the data: [ Ссылка ]
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: [ Ссылка ]
Facebook: [ Ссылка ]
GitHub: [ Ссылка ]
Patreon: [ Ссылка ]
Join the Discussion on Discord: [ Ссылка ]
Happy coding!
Nick
P.s. Let me know how you go and drop a comment if you need a hand!
#deeplearning #python
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