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
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