Deep Learning - Artificial Neural Networks with Tensorflow - Classification Notebook

This video tutorial covers the use of TensorFlow 2.0 for classifying breast cancer diagnoses as malignant or benign. It begins with installing TensorFlow 2.0, followed by loading and understanding the breast cancer dataset using sklearn. The tutorial then explains data preprocessing, including splitting and scaling the data. It proceeds to build a TensorFlow model using the Sequential API, compile it, and train it over 100 epochs. Finally, the video demonstrates evaluating the model's performance, achieving 98% accuracy, and visualizing the training process through loss and accuracy plots.

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