Deep Learning with Applications Using Python

Description

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. Front Matter ....Pages i-xv Basics of TensorFlow (Navin Kumar Manaswi)....Pages 1-30 Understanding and Working with Keras (Navin Kumar Manaswi)....Pages 31-43 Multilayer Perceptron (Navin Kumar Manaswi)....Pages 45-56 Regression to MLP in TensorFlow (Navin Kumar Manaswi)....Pages 57-68 Regression to MLP in Keras (Navin Kumar Manaswi)....Pages 69-89 Convolutional Neural Networks (Navin Kumar Manaswi)....Pages 91-96 CNN in TensorFlow (Navin Kumar Manaswi)....Pages 97-104 CNN in Keras (Navin Kumar Manaswi)....Pages 105-114 RNN and LSTM (Navin Kumar Manaswi)....Pages 115-126 Speech to Text and Vice Versa (Navin Kumar Manaswi)....Pages 127-144 Developing Chatbots (Navin Kumar Manaswi)....Pages 145-170 Face Detection and Recognition (Navin Kumar Manaswi)....Pages 171-199 Back Matter ....Pages 201-219