Build a Deep Audio Classifier with Python and Tensorflow

Overview

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Learn to build a Deep Audio Classification model using Python and Tensorflow. The course covers installing dependencies, creating TensorFlow datasets, building deep CNN models, and exporting results to CSV. The intended audience for this course is individuals interested in deep learning and audio classification.

Syllabus

- START
- CLIENT CALL 1
- Breakdown Board
- MISSION 1
- Install and Import Dependencies
- Build a Dataloading Function
- MISSION 2
- Create Tensorflow Dataset
- Determine Average Call Length
- Build Preprocessing Function
- MISSION 3
- Create Training and Testing Partitions
- Build Deep CNN Model
- Classifier Audio Clips
- MISSION 4
- Build Forest Parsing Function
- Predict All Files
- MISSION 5
- Export Results to CSV