Deep Learning (for Audio) with Python: Difference between revisions
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= Deep Learning (for Audio) with Python: Course Overview = | = Deep Learning (for Audio) with Python: Course Overview = | ||
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= 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 = | ||
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= 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 = | ||
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= TRAINING A NEURAL NETWORK: Implementing backpropagation and gradient descent from scratch = | = TRAINING A NEURAL NETWORK: Implementing backpropagation and gradient descent from scratch = | ||
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= 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 = | ||
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= Implementing a neural network for music genre classification = | = Implementing a neural network for music genre classification = | ||
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= SOLVING OVERFITTING in neural networks = | = SOLVING OVERFITTING in neural networks = | ||
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= Convolutional Neural Networks Explained Easily = | = Convolutional Neural Networks Explained Easily = | ||
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= How to Implement a CNN for Music Genre Classification = | = How to Implement a CNN for Music Genre Classification = | ||
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= Recurrent Neural Networks Explained Easily = | = Recurrent Neural Networks Explained Easily = | ||
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= 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]