Keras Model Building, Sequential Models, 03A
🚀 Course: Master TensorFlow 2.20.0
🔁 Module 03: Keras Model Building
🧠 Lecture A: Sequential Models
👇 Link to the notebook:
https://tinyurl.com/2cv5by34
🚀 Keras Sequential model tutorial for supervised learning: learn step by step how to build, compile, train, and evaluate TensorFlow Keras Sequential models for regression and classification using dense, convolutional, dropout, and embedding layers. This lecture walks through specifying input shapes, choosing activation functions, weight initialization, and L1/L2 regularization, plus selecting the right loss functions, optimizers, and metrics for tasks like MNIST digit recognition and binary classification. You will also see how to use callbacks such as early stopping and model checkpoints, read model summaries, and interpret evaluation results. Watch to solidify your Sequential API skills before moving on to the Keras Functional API.
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