Category: Neural Networks

Understanding neural network parameters with TensorFlow in Python: the optimiser

Neural Networks, Regression 11/20/2022 Daniel Pelliccia

An introductory tutorial on optimisers for deep learning, including Python code for a regression training for NIR spectroscopy.

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Understanding neural network parameters with TensorFlow in Python: the activation function

Neural Networks, Regression 04/09/2022 Daniel Pelliccia

Where we discuss the meaning of an activation function in neural networks, discuss a few examples, and show a comparison of neural network training with different activation functions.

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Deep neural networks for spectral data regression with TensorFlow

Neural Networks, Regression 03/12/2022 Daniel Pelliccia

This post introduces basic Python code to build fully-connected deep neural networks with TensorFlow for regression analysis of spectral data.

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