Manaswi Deep Learning with Applications Using Python

Chatbots and Face, Object, and Speech Recognition With TensorFlow and Keras
1. Auflage 2018
ISBN: 978-1-4842-3516-4
Verlag: APRESS
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 228 Seiten

Reihe: Professional and Applied Computing

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.

Zielgruppe

Professional/practitioner

Autoren/Hrsg.

Manaswi, Navin Kumar

Inhaltsverzeichnis

1. Basics of Tensorflow.- 2. Basics of Keras.- 3. Multilayered Perceptron.- 4. Regression to MLP in Tensorflow.- 5. Regression to MLP in Keras.- 6. CNN in Visuals.- 7. CNN with Tensorflow.- 8. CNN with Keras.- 9. RNN and LSTM .- 10. Speech to Text and Vice Versa.- 11. Developing Chatbots.- 12. Face Detection and Face Recognition. 

Über Autor(innen)

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 the 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.