Author: tayyaba

In this chapter, we will learn about the pre-trained models in Keras. Let us begin with VGG16. VGG16 VGG16 is another pre-trained model. It is also trained using ImageNet. The syntax to load the model is as follows − The default input size for this model is 224×224. MobileNetV2 MobileNetV2 is another pre-trained model. It is also…

ResNet is a pre-trained model. It is trained using ImageNet. ResNet model weights pre-trained on ImageNet. It has the following syntax − Here, Let us understand the model by writing a simple example − Step 1: import the modules Let us load the necessary modules as specified below − Step 2: Select an input Let us choose an…

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 in detail. Pre-trained models Trained model consists of two parts model Architecture and model Weights. Model weights are large file so we have to download…

In this chapter, let us write a simple Long Short Term Memory (LSTM) based RNN to do sequence analysis. A sequence is a set of values where each value corresponds to a particular instance of time. Let us consider a simple example of reading a sentence. Reading and understanding a sentence involves reading the word…