An AI Engineer's Guide to Machine Learning with Keras
Dive into deep learning with Keras in this comprehensive 35-minute tutorial. Learn to build and train machine learning models for heart disease prediction using Google Colab and Jupyter notebooks. Start with data import and exploratory data analysis, then progress through data splitting, transformation, and model setup. Visualize network architecture, implement callback functions for real-time performance tracking, and compare models trained with and without validation data. Master techniques for compiling, training, and evaluating model performance. Gain hands-on experience with ready-to-use code available on GitHub, suitable for local execution or Google Colab. Perfect for AI engineers looking to enhance their skills in deep learning with Keras.