Tutorial 91 - Building your first deep learning model - Breast cancer diagnosis скачать в хорошем качестве

Tutorial 91 - Building your first deep learning model - Breast cancer diagnosis

Notebook created in this video can be accessed at: https://colab.research.google.com/dri... Problem statement: Diagnose whether the patient has breast cancer using the features (attributes) provided. What data is available? Features (attributes) and corresponding labels (diagnosis) as a csv file. https://archive.ics.uci.edu/ml/datase...) OR https://www.kaggle.com/uciml/breast-c... Features are computed from a digitized image of a fine needle aspirate (FNA) of a breast mass 2 class problem: B-benign or M-malignant.  Strategy: Use deep learning to train a model using features as input and labeled diagnosis (B or M) as output on the training data. Then, evaluate the accuracy on the testing data.