In this tutorial, we will learn about one of the arguments of fit-generator namely shuffle using Keras API od TensorFlow. Before starting a discussion on shuffle, Let’s first.... Read More
In this tutorial, We will learn about FaceNet and how to implement it using Python. FaceNet learns a model neural network that encodes a face into vector embedding. These encodings.... Read More
In this tutorial, we will learn about softmax regression which is a general form of logistic regression but in the case where there are multiple classes. Deep learning can be perfo.... Read More
Hello learners, today in this tutorial we will learn about building a simple classifier using low-level APIs using TensorFlow in Python. The classifier is special kinds of hypothes.... Read More
In this tutorial, we are going to see about Keras 2-Dimensional Convolution neural network layer and the important parameters that are needed to be passed. A convolution neural net.... Read More
Introduction There are many factors to be considered while applying for Masters in other countries. You need to have a good GRE score, sop(statement of purpose), or(letter of recom.... Read More
Welcome Reader, Introduction We live in a world of data and categorizing things become important as we get more and more data. So, in this article, we will categorize news headline.... Read More
INTRODUCTION In this tutorial, we will learn how to build a nationality predictor using LSTM with the help of Keras TensorFlow API in Python. The model processes a person’s n.... Read More
INTRODUCTION Hi everyone. In the previous tutorial, we have seen how to build a captcha solver basic in TensorFlow using Keras. In this tutorial, we will look at how to implement t.... Read More
INTRODUCTION In this tutorial, we will look at how to use feature entanglement for generalizing your model. In deep learning generalizing, your model is critical and even more impo.... Read More