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 (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 […]
Data Scientist. As the name suggests, a data scientist is an expert of data, one who works upon data, analyze it to extract out the patterns and information residing in it and solve the corresponding complex problems. The data scientists have come into the picture in many fields in the last decade when companies realised […]
In this blog, we will discuss flexibility of using Keras and get our hand dirty by building a simple CNN model. Keras is high level python library for building networks in deep learning. Keras runs on the low level deep learning library such as “TensorFlow”, “Theano” and “CNTK”. Keras is easy to use and simple […]
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 […]
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.
Text classification and segmentation are very common problems of all businesses. In this process of text classification (or segmentation), we need to convert text into numbers and use machine learning or deep learning algorithms. Let us try to analyze the process of converting word into numbers (better known as word embedding). Word embedding is a […]
Speech as Data The first step while making any automated speech recognition system is to get the features. In other words, identifying the components of the audio wave that are useful for recognizing the linguistic content and deleting all the other useless features that are just background noises is the first task. In humans, the […]
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 […]
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 […]