In this tutorial, you'll learn how to build a Deep Audio Classification model with Tensorflow and Python! Get the code: Get the data: 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: Facebook: GitHub: Patreon: Join the Discussion on Discord: ht
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