Learn how to train a custom deep learning model using transfer learning, a pretrained TensorFlow model, and the ML.NET Image Classification API to classify images of concrete surfaces as cracked or uncracked. This 33-minute video tutorial guides you through the process of implementing transfer learning techniques in C# using the Microsoft ML.NET framework. Explore practical applications in machine learning and data science as you develop skills to classify concrete surface images. Access the accompanying code on GitHub to follow along and enhance your understanding of transfer learning in the context of image classification.