Blog

WoWExp – A Mixed Reality and AI Startup

Extended Reality

A startup that is committed to create WoW Experience for Everyone Disrupting Retail and E-commerce Tech by offering awesome features of Virtual Try-on, Awesome Face Filters and 3D Avatars and 3D Virtual Try-on Automatic Tagging For Manufacturers Face Filters ( Lots of Desi style and new filters) to engage you Please feel free to approach […]

Augmented Reality Applications

Extended Reality Uncategorized

Augmented reality (AR) is an interactive experience of a real-world environment where the real objects are “augmented” by computer-generated perceptual information across single multiple sensory modalities, including visual, auditory and haptic .  Hype or Real? It is real. It is gonna be the part of every industry, soon. Apple and Google have already put billions […]

Face Detection and Recognition : Comparison of Amazon, Microsoft Azure and IBM Watson

Face Detection and Recognition : Comparison of Amazon, Microsoft Azure and IBM Watson

Artificial Intelligence Deep Learning

  Face Detection and Recognition: Comparison of Amazon, Microsoft Azure and IBM Watson In today’s world, everybody wants readymade things. In case of face detection and face recognition, many industries provided so many powerful API’s which are ready to use. Here In this blog, we are going to discuss some of the famous API’s available. If […]

Deep Learning with Applications Using Python: Chatbots and Face, Object, and Speech Recognition With TensorFlow and Keras

WPBookList Book Post

Explore deep learning applications, such as computer vision, speech recognition, and chatbots, using frameworks such as TensorFlow and Keras. This book helps you to ramp up your practical know-how in a short period of time and focuses you on the domain, models, and algorithms required for deep learning applications. Deep Learning with Applications Using Python covers topics such as chatbots, natural language processing, and face and object recognition. The goal is to equip you with the concepts, techniques, and algorithm implementations needed to create programs capable of performing deep learning.

This book covers convolutional neural networks, recurrent neural networks, and multilayer perceptrons. It also discusses popular APIs such as IBM Watson, Microsoft Azure, and scikit-learn.

What You Will Learn
Work with various deep learning frameworks such as TensorFlow, Keras, and scikit-learn.
Use face recognition and face detection capabilities
Create speech-to-text and text-to-speech functionality
Engage with chatbots using deep learning

Who This Book Is For

Data scientists and developers who want to adapt and build deep learning applications.

Do You Want to Become a Deep-Learning Developer?

Artificial Intelligence Cognitive Computing

   You might not realize, but almost all modern technologies that are being used have some form of artificial intelligence. Even for simple tasks such as going through a social media news feed, searching for a specific term on a search engine, buying from e-Commerce websites, or even while watching videos or listening to music […]

How to develop Face Recognition system : Deep Learning Application

Artificial Intelligence Data Science

    The globalization of the cyber world is increasing at an exponential fold. In past couple of years, this shift towards digitization has given access to almost every possible service one can imagine on fingertips. However, the flip side of it is, we end up releasing more information than we should, and it can […]