Sequential models in keras

Описание: 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 Learning  
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 learning  
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 function  
The bias-variance tradeoff in deep learning
   • The bias-variance tradeoff in deep learning  
Intoduction to TensorFlow
   • Introduction to TensorFlow  
Neural Network Debugging with TensorBoard
   • Neural Network Debugging with TensorBoard  
Automatic Differentiation
   • Automatic Differentiation  
Introduction to Keras
   • Introduction to Keras  
Keras overview
   • Keras overview