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This project uses the
face_recognition library in Python to find a celebrity look-alike from a picture that you upload.
face_recognition library, which is built using [dlib]’s state-of-the-art face recognition
built with deep learning, is considered one of the simples libraries used for face recognition and manipulation. The model has an accuracy of 99.38% on the Labeled Faces in the Wild benchmark. With this library you can find faces, find and manipulate facial features, and identify faces in pictures. You can also use this library with other Python libraries to do real-time face recognition.
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Welcome to the project on Improving the Performance of Deep Learning-based Flask App with ZMQ. In this project, we would be especially looking at how we could make use of ZMQ to improve the performance of an Image Classification deployed on the Flask app.
This project depends on another project: Project - How to Deploy an Image Classification Model using Flask
In this topic, we will learn MongoDB and various concepts like - CRUD operations, query optimization, data modeling, aggregations, MapReduce, indexing, replication, sharding, administration and security
This is a Hands-On assessment to help you learn how to create a deep neural network using TensorFlow in Python. We are going to use the MNIST example to demonstrate.
Welcome to this project on the CartPole game using OpenAI gym. In this project, we will use OpenAI gym tool to understand how to make CartPole game from the basic.
Welcome to this project on Deploy Image Classification Pre-trained Keras model using Flask. In this project, we will have a comprehensive understanding of how to deploy a deep learning model as a web application using the Flask framework.
Developing a machine learning or deep learning model is very important to solve problems using AI. On the other hand, it is equally important to have a knowledge of how to deploy those amazing problem-solving models into such an interface that enables the users to make use of these solutions. Even many apps we use today, like YouTube, Amazon/Flipkart shopping, FaceApps …
This topic will help you learn about Regular Expressions. Commonly used by string-searching algorithms for "find" or "find and replace" operations on strings, or for input validation, regular expression is a sequence of characters to easily define a search pattern.