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9- How to implement a (simple) neural network with TensorFlow 2
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Classroom Contents
Deep Learning for Audio with Python
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- 1 1- Deep Learning (for Audio) with Python: Course Overview
- 2 2- AI, machine learning and deep learning
- 3 3- Implementing an artificial neuron from scratch
- 4 4- Vector and matrix operations
- 5 5- Computation in neural networks
- 6 6- Implementing a neural network from scratch in Python
- 7 7- Training a neural network: Backward propagation and gradient descent
- 8 8- TRAINING A NEURAL NETWORK: Implementing backpropagation and gradient descent from scratch
- 9 9- How to implement a (simple) neural network with TensorFlow 2
- 10 10 - Understanding audio data for deep learning
- 11 11- Preprocessing audio data for Deep Learning
- 12 12- Music genre classification: Preparing the dataset
- 13 13- Implementing a neural network for music genre classification
- 14 14- SOLVING OVERFITTING in neural networks
- 15 15- Convolutional Neural Networks Explained Easily
- 16 16- How to Implement a CNN for Music Genre Classification
- 17 17- Recurrent Neural Networks Explained Easily
- 18 18- Long Short Term Memory (LSTM) Networks Explained Easily
- 19 19- How to Implement an RNN-LSTM Network for Music Genre Classification
