Result: Deep Learning with Theano

Develop deep neural networks in Theano with practical code examples for image classification, machine translation, reinforcement agents, or generative models.About This BookLearn Theano basics and evaluate your mathematical expressions faster and in an efficient mannerLearn the design patterns of deep neural architectures to build efficient and powerful networks on your datasetsApply your knowledge to concrete fields such as image classification, object detection, chatbots, machine translation, reinforcement agents, or generative models.Who This Book Is ForThis book is indented to provide a full overview of deep learning. From the beginner in deep learning and artificial intelligence, to the data scientist who wants to become familiar with Theano and its supporting libraries, or have an extended understanding of deep neural nets.Some basic skills in Python programming and computer science will help, as well as skills in elementary algebra and calculus.What You Will LearnGet familiar with Theano and deep learningProvide examples in supervised, unsupervised, generative, or reinforcement learning.Discover the main principles for designing efficient deep learning nets: convolutions, residual connections, and recurrent connections.Use Theano on real-world computer vision datasets, such as for digit classification and image classification.Extend the use of Theano to natural language processing tasks, for chatbots or machine translationCover artificial intelligence-driven strategies to enable a robot to solve games or learn from an environmentGenerate synthetic data that looks real with generative modelingBecome familiar with Lasagne and Keras, two frameworks built on top of TheanoIn DetailThis book offers a complete overview of Deep Learning with Theano, a Python-based library that makes optimizing numerical expressions and deep learning models easy on CPU or GPU.The book provides some practical code examples that help the beginner understand how easy it is to build compl