How to Implement a CNN for Sound Classification @ValerioVelardoTheSoundofAI
How to Implement a CNN for Sound Classification  @ValerioVelardoTheSoundofAI
Uploaded July 2021 | Updated September 2026, 2 weeks ago
Learn how to implement a deep learning (CNN) sound classifier using Pytorch and torchaudio.

Code:
github.com/musikalkemist/pytorchforaudio/blob/main/08%20Implementing%20a%20CNN%20network/cnn.py

===============================

Interested in hiring me as a consultant/freelancer?
valeriovelardo.com

Join The Sound Of AI Slack community:
valeriovelardo.com/the-sound-of-ai-community

Connect with Valerio on Linkedin:
linkedin.com/in/valeriovelardo

Follow Valerio on Facebook:
facebook.com/TheSoundOfAI

Follow Valerio on Twitter:
twitter.com/musikalkemist​

===============================

Content:
0:00 Intro
0:31 Implementing CNNNetwork class
9:55 Implementing the forward method
12:43 Network summary with torchsummary
17:19 What's up next?
How to Implement a CNN for Sound ClassificationUnderstanding Time Domain Audio FeaturesCovid-19 and Cough. This AI Predicts if You Have the Infection || Paper Explained.What’s the salary of an AI audio engineer? [2022]Open Closed Principle for Machine Learning Engineers: Theory and PracticeExtracting Mel Spectrograms with PythonHow to Implement Autoencoders in Python and Keras || The EncoderHow to Select AI (Audio) Papers EffectivelyTraining a VAE with Speech Data in KerasSaving the Autoencoder in Keras5 Things I Wish I Knew when I Founded my AI Music Company12.  Melody Generation with Markov Chains - Generative Music AI
Valerio Velardo - The Sound of AI |

How to Implement a CNN for Sound Classification

SHARE TO X SHARE TO REDDIT SHARE TO FACEBOOK WALLPAPER