Build a Deep Audio Classifier with Python and Tensorflow

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