Training Deep Neural Networks - Introduction to Keras/TensorFlow - Application to Tabular Data - Lecture 2

Explore advanced techniques for training deep neural networks through a comprehensive lecture that continues the discussion of deep learning fundamentals while introducing practical implementation using Keras and TensorFlow frameworks. Learn how to apply these concepts to tabular data analysis through a hands-on example focused on heart disease prediction modeling. Discover various aspects of designing and training deep neural networks, including best practices for working with structured datasets and implementing machine learning solutions for healthcare applications. Master the integration of theoretical deep learning concepts with practical coding skills using industry-standard tools, gaining experience in data preprocessing, model architecture design, and training optimization techniques specifically tailored for tabular data scenarios.