Deep Learning (for Audio) with Python: Difference between revisions

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= Music genre classification: Preparing the dataset =
= Music genre classification: Preparing the dataset =
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= Implementing a neural network for music genre classification =
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= SOLVING OVERFITTING in neural networks =
= SOLVING OVERFITTING in neural networks =

Revision as of 21:33, 29 August 2021

Deep Learning (for Audio) with Python: Course Overview[edit]

AI, machine learning and deep learning[edit]

Implementing an artificial neuron from scratch[edit]

Vector and matrix operations[edit]

Computation in neural networks[edit]

Implementing a neural network from scratch in Python[edit]

Training a neural network: Backward propagation and gradient descent[edit]

TRAINING A NEURAL NETWORK: Implementing backpropagation and gradient descent from scratch[edit]

How to implement a (simple) neural network with TensorFlow 2[edit]

Understanding audio data for deep learning[edit]

Preprocessing audio data for Deep Learning[edit]

Music genre classification: Preparing the dataset[edit]

Implementing a neural network for music genre classification[edit]

SOLVING OVERFITTING in neural networks[edit]

Convolutional Neural Networks Explained Easily[edit]

How to Implement a CNN for Music Genre Classification[edit]

Recurrent Neural Networks Explained Easily[edit]

Long Short Term Memory (LSTM) Networks Explained Easily[edit]

How to Implement an RNN-LSTM Network for Music Genre Classification[edit]

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