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

From EMC23 - Satellite Of Love
Jump to navigation Jump to search
mNo edit summary
mNo edit summary
Line 1: Line 1:
= Deep Learning (for Audio) with Python: Course Overview =
= Deep Learning (for Audio) with Python: Course Overview =
<evlplayer id="player1" w="480" h="360" service="youtube" defaultid="fMqL5vckiU0" />
<evlplayer id="player1" w="480" h="360" service="youtube" defaultid="fMqL5vckiU0" />


= AI, machine learning and deep learning =
= AI, machine learning and deep learning =
<evlplayer id="player1" w="480" h="360" service="youtube" defaultid="1LLxZ35ru_g" />
<evlplayer id="player1" w="480" h="360" service="youtube" defaultid="1LLxZ35ru_g" />


= Implementing an artificial neuron from scratch =
= Implementing an artificial neuron from scratch =
<evlplayer id="player1" w="480" h="360" service="youtube" defaultid="qxIaW-WvLDU" />
<evlplayer id="player1" w="480" h="360" service="youtube" defaultid="qxIaW-WvLDU" />


= Vector and matrix operations =
= Vector and matrix operations =
<evlplayer id="player1" w="480" h="360" service="youtube" defaultid="FmD1S5yP_os" />
<evlplayer id="player1" w="480" h="360" service="youtube" defaultid="FmD1S5yP_os" />


= Computation in neural networks =
= Computation in neural networks =
<evlplayer id="player1" w="480" h="360" service="youtube" defaultid="QUCzvlgvk6I" />
<evlplayer id="player1" w="480" h="360" service="youtube" defaultid="QUCzvlgvk6I" />


= Implementing a neural network from scratch in Python =
= Implementing a neural network from scratch in Python =
<evlplayer id="player1" w="480" h="360" service="youtube" defaultid="0oWnheK-gGk" />
<evlplayer id="player1" w="480" h="360" service="youtube" defaultid="0oWnheK-gGk" />


= Training a neural network: Backward propagation and gradient descent =
= Training a neural network: Backward propagation and gradient descent =
<evlplayer id="player1" w="480" h="360" service="youtube" defaultid="ScL18goxsSg" />
<evlplayer id="player1" w="480" h="360" service="youtube" defaultid="ScL18goxsSg" />


= TRAINING A NEURAL NETWORK: Implementing backpropagation and gradient descent from scratch =
= TRAINING A NEURAL NETWORK: Implementing backpropagation and gradient descent from scratch =
<evlplayer id="player1" w="480" h="360" service="youtube" defaultid="Z97XGNUUx9o" />
<evlplayer id="player1" w="480" h="360" service="youtube" defaultid="Z97XGNUUx9o" />


= How to implement a (simple) neural network with TensorFlow 2 =
= How to implement a (simple) neural network with TensorFlow 2 =
<evlplayer id="player1" w="480" h="360" service="youtube" defaultid="JdXxaZcQer8" />
<evlplayer id="player1" w="480" h="360" service="youtube" defaultid="JdXxaZcQer8" />


= Understanding audio data for deep learning =
= Understanding audio data for deep learning =
<evlplayer id="player1" w="480" h="360" service="youtube" defaultid="m3XbqfIij_Y" />
<evlplayer id="player1" w="480" h="360" service="youtube" defaultid="m3XbqfIij_Y" />


= Preprocessing audio data for Deep Learning =
= Preprocessing audio data for Deep Learning =
<evlplayer id="player1" w="480" h="360" service="youtube" defaultid="Oa_d-zaUti8" />
<evlplayer id="player1" w="480" h="360" service="youtube" defaultid="Oa_d-zaUti8" />


= Music genre classification: Preparing the dataset =
= Music genre classification: Preparing the dataset =
<evlplayer id="player1" w="480" h="360" service="youtube" defaultid="szyGiObZymo" />
<evlplayer id="player1" w="480" h="360" service="youtube" defaultid="szyGiObZymo" />


= Implementing a neural network for music genre classification =
= Implementing a neural network for music genre classification =
<evlplayer id="player1" w="480" h="360" service="youtube" defaultid="_xcFAiufwd0" />
<evlplayer id="player1" w="480" h="360" service="youtube" defaultid="_xcFAiufwd0" />


= SOLVING OVERFITTING in neural networks =
= SOLVING OVERFITTING in neural networks =
<evlplayer id="player1" w="480" h="360" service="youtube" defaultid="Gf5DO6br0ts" />
<evlplayer id="player1" w="480" h="360" service="youtube" defaultid="Gf5DO6br0ts" />


= Convolutional Neural Networks Explained Easily =
= Convolutional Neural Networks Explained Easily =
<evlplayer id="player1" w="480" h="360" service="youtube" defaultid="t3qWfUYJEYU" />
<evlplayer id="player1" w="480" h="360" service="youtube" defaultid="t3qWfUYJEYU" />


= How to Implement a CNN for Music Genre Classification =
= How to Implement a CNN for Music Genre Classification =
<evlplayer id="player1" w="480" h="360" service="youtube" defaultid="dOG-HxpbMSw" />
<evlplayer id="player1" w="480" h="360" service="youtube" defaultid="dOG-HxpbMSw" />


= Recurrent Neural Networks Explained Easily =  
= Recurrent Neural Networks Explained Easily =  
<evlplayer id="player1" w="480" h="360" service="youtube" defaultid="DY82Goknf0s" />
<evlplayer id="player1" w="480" h="360" service="youtube" defaultid="DY82Goknf0s" />


= Long Short Term Memory (LSTM) Networks Explained Easily =
= Long Short Term Memory (LSTM) Networks Explained Easily =
<evlplayer id="player1" w="480" h="360" service="youtube" defaultid="eCvz-kB4yko" />
<evlplayer id="player1" w="480" h="360" service="youtube" defaultid="eCvz-kB4yko" />


= How to Implement an RNN-LSTM Network for Music Genre Classification =
= How to Implement an RNN-LSTM Network for Music Genre Classification =
<evlplayer id="player1" w="480" h="360" service="youtube" defaultid="4nXI0h2sq2I" />
<evlplayer id="player1" w="480" h="360" service="youtube" defaultid="4nXI0h2sq2I" />

Revision as of 20:35, 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]