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