Building Deep Learning Applications Using TensorFlow

Artificial Intelligence Cognitive Computing Data Science

 

Product description

From the Back Cover

Build 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 intermediate and advanced levels of deep learning, including convolutional neural networks, recurrent neural networks, and multilayer perceptrons. It also discusses popular APIs such as IBM Watson, Microsoft Azure, and scikit-learn.

You will:
  • Work with various deep learning frameworks such as TensorFlow, Keras, and scikit-learn.
  • Build face recognition and face detection capabilities
  • Create speech-to-text and text-to-speech functionality
  • Make chatbots using deep learning

About the Author

Navin K Manaswi has been developing AI solutions/products with the use of cutting edge technologies and sciences related to Artificial Intelligence for many years. Having worked for Consulting companies in Malaysia, Singapore and Dubai Smart City project, he has developed a rare skill of delivering end-to-end data science solutions. He has been building solutions for video intelligence, document intelligence and human-like chatbots in his own company. Through this book, he wants to democratize the cognitive computing and services for everyone specially developers, data scientists, software engineers, database engineers, data analysts and CXOs.

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