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Deep Learning With Python

Discover the practical aspects of implementing deep-learning solutions using the rich Python ecosystem. This book bridges the gap between the academic state-of-the-art and the industry state-of-the-practice by introducing you to deep learning frameworks such as Keras, Theano, and Caffe. The practicalities of these frameworks is often acquired by practitioners by reading source code, manuals, and posting questions on community forums, which tends to be a slow and a painful process. *Deep Learning with Python *allows you to ramp up to such practical know-how in a short period of time and focus more on the domain, models, and algorithms.
This book briefly covers the mathematical prerequisites and fundamentals of deep learning, making this book a good starting point for software developers who want to get started in deep learning. A brief survey of deep learning architectures is also included.
*Deep Learning with Python* also introduces you to key concepts of automatic differentiation and GPU computation which, while not central to deep learning, are critical when it comes to conducting large scale experiments. 
**What You Will Learn ** Leverage deep learning frameworks in Python namely, Keras, Theano, and Caffe 
Gain the fundamentals of deep learning with mathematical prerequisites 
Discover the practical considerations of large scale experiments 
Take deep learning models to production
**Who This Book Is For**
Software developers who want to try out deep learning as a practical solution to a particular problem. Software developers in a data science team who want to take deep learning models developed by data scientists to production.

Deep Learning with Applications Using Python

Deep Learning with Applications Using Python: Chatbots and Face, Object, and Speech Recognition With TensorFlow and Keras by Navin Kumar Manaswi
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.

Deep Learning Quick Reference

Deep Learning Quick Reference by Mike Bernico
**Dive deeper into neural networks and get your models trained, optimized with this quick reference guide**
#### Key Features
* A quick reference to all important deep learning concepts and their implementations
* Essential tips, tricks, and hacks to train a variety of deep learning models such as CNNs, RNNs, LSTMs, and more
* Supplemented with essential mathematics and theory, every chapter provides best practices and safe choices for training and fine-tuning your models in Keras and Tensorflow.
#### Book Description
Deep learning has become an essential necessity to enter the world of artificial intelligence. With this book deep learning techniques will become more accessible, practical, and relevant to practicing data scientists. It moves deep learning from academia to the real world through practical examples.
You will learn how Tensor Board is used to monitor the training of deep neural networks and solve binary classification problems using deep learning. Readers will then learn to optimize hyperparameters in their deep learning models. The book then takes the readers through the practical implementation of training CNN’s, RNN’s, and LSTM’s with word embeddings and seq2seq models from scratch. Later the book explores advanced topics such as Deep Q Network to solve an autonomous agent problem and how to use two adversarial networks to generate artificial images that appear real. For implementation purposes, we look at popular Python-based deep learning frameworks such as Keras and Tensorflow, Each chapter provides best practices and safe choices to help readers make the right decision while training deep neural networks.
By the end of this book, you will be able to solve real-world problems quickly with deep neural networks.
#### What you will learn
* Solve regression and classification challenges with TensorFlow and Keras
* Learn to use Tensor Board for monitoring neural networks and its training
* Optimize hyperparameters and safe choices/best practices
* Build CNN’s, RNN’s, and LSTM’s and using word embedding from scratch
* Build and train seq2seq models for machine translation and chat applications.
* Understanding Deep Q networks and how to use one to solve an autonomous agent problem.
* Explore Deep Q Network and address autonomous agent challenges.
#### Who this book is for
If you are a Data Scientist or a Machine Learning expert, then this book is a very useful read in training your advanced machine learning and deep learning models. You can also refer this book if you are stuck in-between the neural network modeling and need immediate assistance in getting accomplishing the task smoothly. Some prior knowledge of Python and tight hold on the basics of machine learning is required.

Deep Learning for Computer Vision

Deep Learning for Computer Vision by Rajalingappaa shanmugamani
**Learn how to model and train advanced neural networks to implement a variety of Computer Vision tasks**
#### Key Features
* Train different kinds of deep learning model from scratch to solve specific problems in Computer Vision
* Combine the power of Python, Keras, and TensorFlow to build deep learning models for object detection, image classification, similarity learning, image captioning, and more
* Includes tips on optimizing and improving the performance of your models under various constraints
#### Book Description
Deep learning has shown its power in several application areas of Artificial Intelligence, especially in Computer Vision. Computer Vision is the science of understanding and manipulating images, and finds enormous applications in the areas of robotics, automation, and so on. This book will also show you, with practical examples, how to develop Computer Vision applications by leveraging the power of deep learning.
In this book, you will learn different techniques related to object classification, object detection, image segmentation, captioning, image generation, face analysis, and more. You will also explore their applications using popular Python libraries such as TensorFlow and Keras. This book will help you master state-of-the-art, deep learning algorithms and their implementation.
#### What you will learn
* Set up an environment for deep learning with Python, TensorFlow, and Keras
* Define and train a model for image and video classification
* Use features from a pre-trained Convolutional Neural Network model for image retrieval
* Understand and implement object detection using the real-world Pedestrian Detection scenario
* Learn about various problems in image captioning and how to overcome them by training images and text together
* Implement similarity matching and train a model for face recognition
* Understand the concept of generative models and use them for image generation
* Deploy your deep learning models and optimize them for high performance
#### Who this book is for
This book is targeted at data scientists and Computer Vision practitioners who wish to apply the concepts of Deep Learning to overcome any problem related to Computer Vision. A basic knowledge of programming in Python—and some understanding of machine learning concepts—is required to get the best out of this book.

Deep Learning Essentials

Get to grips with the essentials of deep learning by leveraging the power of Python Key Features Your one-stop solution to get started with the essentials of deep learning and neural network modeling Train different kinds of neural networks to tackle various problems in Natural Language Processing, computer vision, speech recognition, and more Covers popular Python libraries such as Tensorflow, Keras, and more, along with tips on training, deploying and optimizing your deep learning models in the best possible manner Book DescriptionDeep Learning a trending topic in the field of Artificial Intelligence today and can be considered to be an advanced form of machine learning, which is quite tricky to master. This book will help you take your first steps in training efficient deep learning models and applying them in various practical scenarios. You will model, train, and deploy different kinds of neural networks such as Convolutional Neural Network, Recurrent Neural Network, and will see some of their applications in real-world domains including computer vision, natural language processing, speech recognition, and so on. You will build practical projects such as chatbots, implement reinforcement learning to build smart games, and develop expert systems for image captioning and processing. Popular Python library such as TensorFlow is used in this book to build the models. This book also covers solutions for different problems you might come across while training models, such as noisy datasets, small datasets, and more. This book does not assume any prior knowledge of deep learning. By the end of this book, you will have a firm understanding of the basics of deep learning and neural network modeling, along with their practical applications. What you will learn Get to grips with the core concepts of deep learning and neural networks Set up deep learning library such as TensorFlow Fine-tune your deep learning models for NLP and Computer Vision applications Unify different information sources, such as images, text, and speech through deep learning Optimize and fine-tune your deep learning models for better performance Train a deep reinforcement learning model that plays a game better than humans Learn how to make your models get the best out of your GPU or CPU Who this book is forAspiring data scientists and machine learning experts who have limited or no exposure to deep learning will find this book to be very useful. If you are looking for a resource that gets you up and running with the fundamentals of deep learning and neural networks, this book is for you. As the models in the book are trained using the popular Python-based libraries such as Tensorflow and Keras, it would be useful to have sound programming knowledge of Python.
(source: Bol.com)

Deep Learning Cookbook

Deep Learning Cookbook: Practical Recipes to Get Started Quickly by Douwe Osinga
Deep learning doesn’t have to be intimidating. Until recently, this machine-learning method required years of study, but with frameworks such as Keras and Tensorflow, software engineers without a background in machine learning can quickly enter the field. With the recipes in this cookbook, you’ll learn how to solve deep-learning problems for classifying and generating text, images, and music.
Each chapter consists of several recipes needed to complete a single project, such as training a music recommending system. Author Douwe Osinga also provides a chapter with half a dozen techniques to help you if you’re stuck. Examples are written in Python with code available on GitHub as a set of Python notebooks.
You’ll learn how to:
* Create applications that will serve real users
* Use word embeddings to calculate text similarity
* Build a movie recommender system based on Wikipedia links
* Learn how AIs see the world by visualizing their internal state
* Build a model to suggest emojis for pieces of text
* Reuse pretrained networks to build an inverse image search service
* Compare how GANs, autoencoders and LSTMs generate icons
* Detect music styles and index song collections

Deep Green Resistance

For years, Derrick Jensen has asked his audiences, “Do you think this culture will undergo a voluntary transformation to a sane and sustainable way of life?” No one ever says yes.
*Deep Green Resistance* starts where the environmental movement leaves off: industrial civilization is incompatible with life. Technology can’t fix it, and shopping – no matter how green – won’t stop it. To save this planet, we need a serious resistance movement that can bring down the industrial economy. *Deep Green Resistance* evaluates strategic options for resistance, from nonviolence to guerrilla warfare, and the conditions required for those options to be successful. It provides an exploration of organizational structures, recruitment, security, and target selection for both aboveground and underground action. *Deep Green Resistance* also discusses a culture of resistance and the crucial support role that it can play.
*Deep Green Resistance* is a plan of action for anyone determined to fight for this planet – and win.

The Deeds of the Disturber

SUMMARY: Can fear kill? There are those who believe so–but Amelia Peabody is skeptical. A respected Egyptologist and amateur sleuth, Amelia has foiled felonious schemes from Victoria’s England to the Middle East. And she doubts that it was a Nineteenth-Dynasty mummy’s curse that caused the death of a night watchman in the British Museum. The corpse was found sprawled in the mummy’s shadow, a look of terror frozen on the guard’s face. What–or who–killed the unfortunate man is a mystery that seems too intriguingly delicious for Amelia to pass up, especially now that she, her dashing archaeologist husband, Emerson, and their precocious son, Ramses, are back on Britain’s shores. But a contemporary curse can be as lethal as one centuries old–and the foggy London thoroughfares can be as treacherous as the narrow, twisting alleyways of Cairo after dark–when a perpetrator of evil deeds sets his murderous sights on his relentless pursuer…Amelia Peabody! Can fear kill? There are those who believe so–but Amelia Peabody is skeptical. A respected Egyptologist and amateur sleuth, Amelia has foiled felonious schemes from Victoria’s England to the Middle East. And she doubts that it was a Nineteenth-Dynasty mummy’s curse that caused the death of a night watchman in the British Museum. The corpse was found sprawled in the mummy’s shadow, a look of terror frozen on the guard’s face. What–or who–killed the unfortunate man is a mystery that seems too intriguingly delicious for Amelia to pass up, especially now that she, her dashing archaeologist husband, Emerson, and their precocious son, Ramses, are back on Britain’s shores. But a contemporary curse can be as lethal as one centuries old–and the foggy London thoroughfares can be as treacherous as the narrow, twisting alleyways of Cairo after dark–when a perpetrator of evil deeds sets his murderous sights on his relentless pursuer…Amelia Peabody!

Dedicated Alpha

[Siren Everlasting Classic ManLove: Erotic Alternative Paranormal Romance, M/M, shape-shifters, light bondage, sex toys, HEA] He was willing to suffer a broken heart to protect the man he loved… Getting a second chance at love is more than Luke could ask for, but discovering Dillinger is a cop has him running for the door. Luke has a secret that could destroy Dillinger’s career, but keeping his distance from the sexy officer might be more difficult than Luke ever imagined. Dillinger was dedicated to uncovering the truth behind Twin Pines College, but when he reconnects to Luke, a man he never forgot, he is willing to let his goal slide. Luke is more than Dillinger could have ever hoped for, but just as suddenly as he reappeared, Luke vanishes. Each man is willing to suffer to protect the other, but when their resistance to their own fate puts an innocent man in jeopardy, the leader of the Twin Pines Grizzlies has to intervene. The only question is, will he be too late? ** A Siren Erotic Romance

Deceptions

Koren Bladewell now knows he is a wizard, but he is lost in the wilderness, cut off from help and unable to use his powers. The enemy is poised at the border with an overwhelming invasion force, and it will take wizards, soldiers and a young, untested princess to hold off defeat long enough for Koren to be trained and grow into his power. But he might not wish to help those who deceived him and destroyed his life

Deception Point

From the *New York Times* bestselling author of *The Da Vinci Code* comes an explosive, high-tech thriller that takes readers from the chilling depths of the Arctic Ocean to the treacherous heights of Washington power.
When a new NASA satellite spots evidence of an astonishingly rare object buried deep in the Arctic ice, the floundering space agency proclaims a much-needed victory…a victory that has profound implications for U.S. space policy and the impending presidential election. With the Oval Office in the balance, the President dispatches White House Intelligence analyst Rachel Sexton to the Milne Ice Shelf to verify the authenticity of the find. Accompanied by a team of experts, including the charismatic academic Michael Tolland, Rachel uncovers the unthinkable: evidence of scientific trickery — a bold deception that threatens to plunge the world into controversy.
But before Rachel can contact the President, she and Michael are attacked by a deadly team of assassins controlled by a mysterious power broker who will stop at nothing to hide the truth. Fleeing for their lives in an environment as desolate as it is lethal, their only hope for survival is to find out who is behind this masterful ploy. The truth, they will learn, is the most shocking deception of all.
In *Deception Point,* bestselling author Dan Brown transports readers from the ultrasecret National Reconnaissance Office to the towering ice shelves of the Arctic Circle, and back again to the hallways of power inside the West Wing. Heralded for masterfully intermingling science, history, and politics in his critically acclaimed, blockbuster thrillers*Angels & Demons* and *The Da Vinci Code,* Brown has crafted a novel in which nothing is as it seems — and behind every corner is a stunning surprise.*Deception Point* is pulse-pounding fiction at its best.
**Recensie(s)**

A case study in suspense. Unputdownable * Washington Post * Intrigue and menace mingle in one of the finest mysteries I’ve ever read. An amazing tale with enigma piled on secrets stacked on riddles — Clive Cussler
(source: Bol.com)

Debt of Honor

SUMMARY: Called out of retirement to serve as National Security Advisor to the president, Jack Ryan, with the help of CIA officers John Clark and Domingo Chavez, must prepare the untested president to meet the challenges of a new world order. Reissue.

Debt of Bones

SUMMARY: A milestone of storytelling set in the world of The Sword of Truth, Debt of Bones is the story of young Abby’s struggle to win the aid of the wizard Zedd Zorander, the most important man alive.Abby is trapped, not only between both sides of the war, but in a mortal conflict between two powerful men. For Zedd, who commands power most men can only imagine, granting Abby’s request would mean forsaking his sacred duty. With the storm of the final battle about to break, both Abby and Zedd are caught in a desperate fight to save the life of a child…but neither can escape the shadow of an ancient betrayal.With time running out, their only choice may be a debt of bones. The world-for Zedd, for Abby, for everyone-will never again be the same.Discover why millions of readers the world over have elevated Terry Goodkind to the ranks of legend.

Deathworld

Net Force Explorer Charlie Davis is worried about his friend Rick, who has been hanging out at a punk rock/morbo site called Deathworld, a place rumored to be responsible for a couple of suicides. Charlie decides to visit the place undercover. What he finds may kill him.

Deathmarked

*Alternate Cover Edition of ASIN [B071FNBJVS](https://www.goodreads.com/book/show/35343729-deathmarked)*
**While the war for the Four Kingdoms drags on, a new threat emerges from across the sea…**
To the north, Annise Gäric seek to rescue Lady Zelda and retake Castle Hill from the sellswords known as the Brotherhood. In the back of her mind is a growing fear, something she can’t quite explain. Meanwhile, Lisbeth Lorne tries to regain control of the ancient army of Sleeping Knights before they become the horde of death her soulmark has shown to her in visions.
In the west, Rhea Loren find herself at a crossroads. Continue down the path of destruction or seek another way, another life. But when the truth she’s buried from her own people comes to light, she loses the control she so desperately clings to.
In the east, newly crowned King Gareth Ironclad must decide whether to pursue peace or follow in his father’s and brother’s footsteps. After all, he now has a dragon…
In Calyp, Raven Sandes is forced to fight in the pits of Zune. She wants nothing more than to give up, to die, until she discovers her sister, Whisper, is a prisoner too. What she doesn’t know is that Gwendolyn Storm is closing in on her, seeking her own vengeance for the latest attack on Ferria.
Roan Loren, on the other hand, continues to seek knowledge, clinging to the Western Oracle’s prophecy of peace. His journey takes him southward, to Teragon, where a truth has been hidden for more than a decade.
Grey Arris, with his new pirate allies, sails for the southern continent, but he doesn’t know what monsters lurk beneath the waters of the Burning Sea.
In the southern empire of Phanes, Jai Jiroux and the Black Tears fight to maintain order as the newly released slaves cry for the blood of their previous masters. At the same time, he must control the slave army to defend against the Phanecians warriors to the north, who have a new leader: Bane. The kingslayer still wants peace, but he’s finally realized that he might have to destroy everything to achieve it.

Death’s Excellent Vacation

**Because everyone – and every*thing* – needs a break from the routine, Charlaine Harris and Toni L. P. Kelner return with an all-new story collection of postcards from the edge of the paranormal world…**
It really can be an endless summer – if you’re immortal. Though a vampire would be ill-advised to take a cruise to Bermuda, the possibilities for getting away from it all – and maybe snacking on some unsuspecting tourist – are many…
Sookie Stackhouse and her vampire friend Pam take a weekend getaway to Mississippi in #1 *New York Times* bestselling author Charlaine Harris’s “Two Blondes.” And when they end up in a shady gentleman’s club, to escape in one piece they need to do something that wasn’t on their itinerary – something involving a stage, a pole, and very little clothing.
*New York Times* bestselling author Katie MacAlister’s “The Perils of Effrijim” follow a demon whose vacation in Paris is disrupted when he’s banished to another plane, thus kicking off a crazy dimension-hopping road trip across Europe.
Protecting an heiress from supernatural hit men isn’t Cat and Bones’s idea of a relaxing vacation in *New York Times* bestselling author Jeaniene Frost’s “One for the Money,” but it could get worse. And it does – when Cat’s mother shows up.
With ten more original tales, editors Harris and Kelner bring together a stellar collection of tour guides who offer vacations frightening, funny, and touching – for the fanged, the furry, the demonic, and the grotesque.