Python TensorFlow for Machine Learning – Neural Network Text Classification Tutorial

Overview

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).