Taking an approach that uses the latest developments in the Python ecosystem, youβll first be guided through the Jupyter ecosystem, key visualization libraries and powerful data sanitization techniques before we train our first predictive model. Weβll explore a variety of approaches to classificatio
Deep Learning with Applications Using Python
β Scribed by Navin Kumar Manaswi
- Publisher
- Apress
- Year
- 2018
- Tongue
- English
- Leaves
- 228
- Edition
- 1st ed.
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
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.
β¦ Table of Contents
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
β¦ Subjects
Computer Science; Computing Methodologies; Python; Big Data
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