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In this chapter, we will learn about the Keras pre-trained models . Let us begin with VGG16. VGG16 VGG16 is another pre-trained model. It is also trained using ImageNet. The syntax…

ResNet is a pre-trained model. It is trained using ImageNet. ResNet model weights pre-trained on ImageNet. It has the following syntax − keras.applications.resnet.ResNet50 ( include_top = True, weights = 'imagenet', input_tensor = None,…

Keras applications module is used to provide pre-trained model for deep neural networks. Keras models are used for prediction, feature extraction and fine tuning. This chapter explains about Keras applications…

This chapter is about Keras - Time Series Prediction using LSTM RNN. In this chapter, let us write a simple Long Short Term Memory (LSTM) based RNN to do sequence…

This topic is about Keras - Regression Prediction using MPL. let us write a simple MPL based ANN to do regression prediction. Till now, we have only done the classification…