Keras & TensorFlow Tutorial - Image classification with MLP - Code explained line by line
In this comprehensive tutorial, we’ll guide you step-by-step through a Python script that trains a Multi-Layer Perceptron (MLP) to recognize handwritten digits from the MNIST dataset. Perfect for beginners and intermediate practitioners alike, you’ll learn not only how to get a model up and running, but also how to monitor, debug, and extend it for real-world use.
📂 Source Code on GitHub: https://github.com/samugit83/TheGradientPath/tree/master/Keras/ImageClassificationWithMLP
What You’ll Learn
MNIST Dataset Fundamentals: Understanding the structure, purpose, and preprocessing needs of th…
Watch on YouTube ↗
(saves to browser)
DeepCamp AI