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Sequential models in keras

In this video, we're going to introduce sequential models with Keras. In Keras, you have essentially two types of models available. One is called Sequential and you use it to define sequential models, meaning you simply stack layers one by one, sequentially. And this is the focus of this lecture. There's another model available in Keras that is mainly used for non-sequential models, and it goes by the name Model. Those more general models use a functional API. We're going to introduce this API later on. The initial lectures series of this topic can find in the below links: Cloud Architectures for AI and Deep Learning    • Cloud Architectures for AI and Deep L...   Linear algebra    • Linear algebra   Deep feed forward neural networks    • Deep feed forward neural networks   Convolutional Neural Networks    • Convolutional Neural Networks   Recurrent neural networks    • Recurrent neural networks   LSTMs    • LSTMs   Auto encoders and representation learning    • Auto encoders and representation lear...   Methods for neural network training    • Methods for neural network training   Gradient Descent Updater Strategies    • Gradient Descent Updater Strategies   How to choose the correct activation function    • How to choose the correct activation ...   The bias-variance tradeoff in deep learning    • The bias-variance tradeoff in deep le...   Intoduction to TensorFlow    • Introduction to TensorFlow   Neural Network Debugging with TensorBoard    • Neural Network Debugging with TensorB...   Automatic Differentiation    • Automatic Differentiation   Introduction to Keras    • Introduction to Keras   Keras overview    • Keras overview