Аннотация
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
![Дефрагментация мозга [Софтостроение изнутри]](https://www.rulit.me/data/programs/images/defragmentaciya-mozga-softostroenie-iznutri_567023.jpg "Эта книга для тех, кто давно связан с разработкой программного обеспечения. Или для тех, кто еще думает выбрать программирование своей профессией. Или для тех, кто...")
![Expert Twisted [Event-Driven and Asynchronous Programming with Python]](https://www.rulit.me/data/programs/images/expert-twisted-event-driven-and-asynchronous-programming-wit_606923.jpg "Twisted is a powerful, well-tested, and mature concurrent networking library and framework. As we’ll see in this book, many projects and individuals have used it to great effect for more than a decade.
At the same time, Twisted is large, complicated, and old. Its lexicon teems with strange names,...")
Комментарии к книге "Deep Learning with Applications Using Python"