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Valerio Velardo - The Sound of AI @UCZPFjMe1uRSirmSpznqvJfQ@youtube.com

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The intersection of AI + leadership + music. If you're inte


10:04
Hyperparameter Optimisation Gives your ML Models Wings
09:42
Audio Data Augmentation Libraries in Python
06:35
New channel announcement...
21:27
How To Implement Audio Data Augmentation in Python
13:10
Audio Data Augmentation Techniques: The Theory
15:54
Audio Data Augmentation Is All You Need
53:19
8 Papers You Can’t Miss From ISMIR2021 (AI Music Conference)
09:48
Don't Waste Time on Deep Learning Models
07:57
The Secrets to Fail/Succeed Building a Machine Learning Solution
14:01
Dependency Inversion Principle for ML Engineers
13:18
Interface Segregation Principle for Machine Learning: Theory and Practice
10:03
How to Set Milestones and Budget Resources for an AI Project
13:38
Liskov Substitution Principle for Machine Learning: Theory and Practice
08:23
Technical and Value Assessment of an AI Project
14:50
Open Closed Principle for Machine Learning Engineers: Theory and Practice
10:55
Single Responsibility Principle for Machine Learning Engineers: Theory and Practice
08:24
How to Scope Out an AI Project Effectively
09:28
Uncle Bob’ SOLID Principles for Machine Learning Engineers: Course Overview
21:01
Praudio: Batch Preprocess Audio Datasets in 1 Command
11:36
Predictions with a Sound Classifier Trained with PyTorch
08:57
Training a Sound Classifier with PyTorch
18:13
How to Implement a CNN for Sound Classification
05:37
Pre-processing Audio for Deep Learning on GPU
21:27
Pre-processing Audio with Different Durations
22:57
Extracting Mel Spectrograms with Pytorch and Torchaudio
03:14
I released an album of piano music...
23:00
Custom Audio PyTorch Dataset with Torchaudio
17:20
Why is Shum by Go_A such an interesting song?
12:14
Using Python + Text-To-Speech to Keep Up-to-Date with Research
16:00
Making Predictions with PyTorch Deep Learning Models
37:04
Implementing and Training a Neural Network with PyTorch
27:43
The Art of Asking Effective Questions: Tips and Strategies
10:36
PyTorch for Audio + Music Processing: Course Overview
29:40
Automatic song remixes with audio signal processing + (simple) Machine Learning
35:21
Generating Sound Digits with a Variational AutoEncoder
13:33
Training a VAE with Speech Data in Keras
58:44
Preprocessing Audio Datasets for Machine Learning
12:19
What’s the Best Strategy to Develop an AI Audio Solution?
33:06
How to implement a Variational AutoEncoder in Python and Keras
12:29
R&D and production in AI (audio) companies: How to balance
28:25
How is AI Revolutionising Music?
28:00
7 Great AI Music Projects for your Portfolio
13:30
Hiring AI music talent || What skills should the PERFECT candidate have?
19:14
The Personalised Music Discovery Wizard || Pandora
10:48
From Autoencoders to Variational Autoencoders: Improving the Loss Function
26:19
From Autoencoders to Variational Autoencoders: Improving the Encoder
23:29
Generation with AutoEncoders: Results and Limitations
19:36
Saving the Autoencoder in Keras
27:04
Building and Training an Autoencoder in Keras + TensorFlow + Python
28:33
How to Conduct Literature Review Effectively
15:44
Driving the Voice AI Revolution || SoundHound
35:47
How to Implement Autoencoders in Python and Keras || The Decoder
44:14
How to Implement Autoencoders in Python and Keras || The Encoder
11:08
Teaching Machines how to Hear || Audio Analytic
27:59
Autoencoders Explained Easily
25:08
How to Select a Research Topic for Your Paper
05:05
Learn about the audio tech space || Series announcement
25:24
Sound Generation with Deep Learning || Approaches and Challenges
06:17
Sound Generation with Neural Networks || INTRO
47:54
Covid-19 and Cough. This AI Predicts if You Have the Infection || Paper Explained.