Python TensorFlow for Machine Learning – Neural Network Text Classification Tutorial

Overview

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Learn machine learning concepts and implement neural networks using Python and TensorFlow in this comprehensive tutorial. Explore classification, regression, dataset types, loss functions, and model training. Implement a feedforward neural network for diabetes prediction and two neural net architectures for wine review classification. Access provided datasets and Colab notebooks to follow along with hands-on exercises. Gain practical experience in TensorFlow, neural network architectures, and text classification techniques through guided examples and explanations.

Syllabus

) Introduction.
) Colab intro (importing wine dataset).
) What is machine learning?.
) Features (inputs).
) Outputs (predictions).
) Anatomy of a dataset.
) Assessing performance.
) Neural nets.
) Tensorflow.
) Colab (feedforward network using diabetes dataset).
) Recurrent neural networks.
) Colab (text classification networks using wine dataset).