Part 1EDAAudio Classification Project Using Deep Learning

YOUR LINK HERE:

http://youtube.com/watch?v=ZLIPkmmDJAc

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/DeepA... • Get the data: https://www.kaggle.com/kenjee/z-by-hp... • 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

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