Fundamentals of Machine Learning - Logistic Regression

The video tutorial introduces logistic regression, explaining its mathematical intuition and application in classification problems. It covers the use of TensorFlow and Keras libraries to build a logistic regression model using the fashion MNIST dataset. The tutorial walks through data preparation, model building, training, and evaluation, highlighting the importance of the softmax function for probability predictions. It concludes with an introduction to multilayer neural networks, emphasizing the potential for improved performance through increased model complexity.

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