Python Deep Learning Projects

Insightful projects to master deep learning and neural network architectures using Python and KerasKey FeaturesExplore deep learning across computer vision natural language processing (NLP) and image processingDiscover best practices for the training of deep neural networks and their deploymentAccess popular deep learning models as well as widely used neural network architecturesBook DescriptionDeep learning has been gradually revolutionizing every field of artificial intelligence making application development easier.Python Deep Learning Projects imparts all the knowledge needed to implement complex deep learning projects in the field of computational linguistics and computer vision. Each of these projects is unique helping you progressively master the subject. You’ll learn how to implement a text classifier system using a recurrent neural network (RNN) model and optimize it to understand the shortcomings you might experience while implementing a simple deep learning system.Similarly you’ll discover how to develop various projects including word vector representation open domain question answering and building chatbots using seq-to-seq models and language modeling. In addition to this you’ll cover advanced concepts such as regularization gradient clipping gradient normalization and bidirectional RNNs through a series of engaging projects.By the end of this book you will have gained knowledge to develop your own deep learning systems in a straightforward way and in an efficient wayWhat you will learnSet up a deep learning development environment on Amazon Web Services (AWS)Apply GPU-powered instances as well as the deep learning AMIImplement seq-to-seq networks for modeling natural language processing (NLP)Develop an end-to-end speech recognition systemBuild a system for pixel-wise semantic labeling of an imageCreate a system that generates images and their regionsWho this book is forPython Deep Learning Projects is for you if you want to get insights into deep learning data science and artificial intelligence. This book is also for those who want to break into deep learning and develop their own AI projects.It is assumed that you have sound knowledge of Python programming About the Author Matthew Lamons's background is in experimental psychology and deep learning. Founder and CEO of Skejul―the AI platform to help people manage their activities. Named by Gartner Inc. as a "Cool Vendor" in the "Cool Vendors in Unified Communication 2017" report. He founded The Intelligence Factory to build AI strategy solutions insights and talent for enterprise clients and incubate AI tech startups based on the success of his Applied AI MasterMinds group. Matthew's global community of more than 85 K are leaders in AI forecasting robotics autonomous vehicles marketing tech NLP computer vision reinforcement and deep learning. Matthew invites you to join him on his mission to simplify the future and to build AI for good.Rahul Kumar is an AI scientist deep learning practitioner and independent researcher. His expertise in building multilingual NLU systems and large-scale AI infrastructures has brought him to Copenhagen where he leads a large team of AI engineers as Chief AI Scientist at Jatana. Often invited to speak at AI conferences he frequently travels between India Europe and the US where among other research initiatives he collaborates with The Intelligence Factory as NLP data science fellow. Keen to explore the ramifications of emerging technologies for his next book he's currently involved in various research projects on Quantum Computing (QC) high-performance computing (HPC) and the brain-computer interaction (BCI).Abhishek Nagaraja was born and raised in India. Graduated Magna Cum Laude from the University of Illinois at Chicago United States with a Masters Degree in Mechanical Engineering with a concentration in Mechatronics and Data