Publisher: 8

The Deal. Układ [okładka serialowa]

Elle Kennedy

ODKRYJ EMOCJE NA LODZIE I MIŁOŚĆ POZA TAFLĄ W WYJĄTKOWEJ SERII OFF-CAMPUS ONA MA WŁAŚNIE PÓJŚĆ NA PEWIEN UKŁAD Z NIEGRZECZNYM STUDENTEM Hannah Wells w końcu znalazła chłopaka, który wzbudził jej zainteresowanie. Wydaje się, że jest pewna siebie w każdym aspekcie życia, ale jeśli chodzi o seks i uwodzenie, okazuje się, że dźwiga dotkliwy bagaż doświadczeń. Żeby zwrócić uwagę swojego wybranka, będzie musiała zainteresować go sobą. Chcąc osiągnąć cel, gotowa jest pójść na pewien układ i w zamian za udzielenie korepetycji nieznośnemu, wkurzającemu i zadufanemu w sobie kapitanowi drużyny hokejowej zgadza się na fałszywą randkę ON BEZ WAHANIA SKŁADA JEJ NIEMORALNĄ PROPOZYCJĘ Garrett Graham od zawsze marzył o zawodowej karierze hokejowej, ale gdy średnia jego ocen na studiach gwałtownie spada, grozi mu katastrofa. Decyduje się pomóc pewnej brunetce, która chce wzbudzić zazdrość w innym chłopaku. Ona z kolei pomoże Garrettowi w nauce. Ale jeden nieoczekiwany pocałunek rozpala żar dwojga ciał i hokeista szybko uświadamia sobie, że udawanie nie wchodzi w grę. Musi teraz przekonać Hannah, że mężczyzna jej marzeń wygląda dokładnie tak jak on Kultowa powieść, która zapoczątkowała niezwykle dziś popularny gatunek romansu hokejowego

The Death Star

T.C. Bridges

This old science fiction novel, Bridges, describes the Earth, largely devastated and devastated by terrible unrest in the solar system. The story tells about the adventures of seven people sailing in a wonderful airship of the future. There is a mortal battle between the two scientists: one is trying to build a new and better world on the ruins of the old, the other is a villain fighting to create a system that will finally destroy what remains on Earth.

The Death-Doctor. Being the Remarkable Confessions of Archibald More DEscombe, M.D. of Kensington, London, Selected by Laurence Lanner-Brown, M.D

William Le Queux

Some year and a half ago, my friend and erstwhile neighbour. Dr. Archibald More dEscombe, died suddenly, and shortly after his decease I received from his solicitors a sealed packet addressed to me in his handwriting, with instructions that it was not to be opened until after his death.

The Deaves Affair

Hulbert Footner

The Deaves Affair by Hulbert Footner. A millionnaire family is attacked by a blackmailer. They will be ruined if he always succeeds. A young struggling artist in New York City Evan is engaged to protect the old man from the crowd and from their blunders. But he had to play the role of a detective to help this family to discover the romantically inclined mystery in this affair. Will he succeed?

The Debtor

Mary E. Wilkins Freeman

Banbridge is close enough to the great City that, after dark, the merging light of its many eyes of electric fire can be seen on the southern horizon. This book shows exactly how women were completely thrown into provincial resources. They perfected their minds and bodies, even having a physical education club and a teacher who came weekly from the City.

The Deep Learning Architect's Handbook. Build and deploy production-ready DL solutions leveraging the latest Python techniques

Ee Kin Chin

Deep learning enables previously unattainable feats in automation, but extracting real-world business value from it is a daunting task. This book will teach you how to build complex deep learning models and gain intuition for structuring your data to accomplish your deep learning objectives.This deep learning book explores every aspect of the deep learning life cycle, from planning and data preparation to model deployment and governance, using real-world scenarios that will take you through creating, deploying, and managing advanced solutions. You’ll also learn how to work with image, audio, text, and video data using deep learning architectures, as well as optimize and evaluate your deep learning models objectively to address issues such as bias, fairness, adversarial attacks, and model transparency.As you progress, you’ll harness the power of AI platforms to streamline the deep learning life cycle and leverage Python libraries and frameworks such as PyTorch, ONNX, Catalyst, MLFlow, Captum, Nvidia Triton, Prometheus, and Grafana to execute efficient deep learning architectures, optimize model performance, and streamline the deployment processes. You’ll also discover the transformative potential of large language models (LLMs) for a wide array of applications.By the end of this book, you'll have mastered deep learning techniques to unlock its full potential for your endeavors.

The Deep Learning with Keras Workshop. Learn how to define and train neural network models with just a few lines of code

Matthew Moocarme, Mahla Abdolahnejad , Ritesh Bhagwat

New experiences can be intimidating, but not this one! This beginner’s guide to deep learning is here to help you explore deep learning from scratch with Keras, and be on your way to training your first ever neural networks.What sets Keras apart from other deep learning frameworks is its simplicity. With over two hundred thousand users, Keras has a stronger adoption in industry and the research community than any other deep learning framework.The Deep Learning with Keras Workshop starts by introducing you to the fundamental concepts of machine learning using the scikit-learn package. After learning how to perform the linear transformations that are necessary for building neural networks, you'll build your first neural network with the Keras library. As you advance, you'll learn how to build multi-layer neural networks and recognize when your model is underfitting or overfitting to the training data. With the help of practical exercises, you’ll learn to use cross-validation techniques to evaluate your models and then choose the optimal hyperparameters to fine-tune their performance. Finally, you’ll explore recurrent neural networks and learn how to train them to predict values in sequential data.By the end of this book, you'll have developed the skills you need to confidently train your own neural network models.

The Deep Learning with PyTorch Workshop. Build deep neural networks and artificial intelligence applications with PyTorch

Hyatt Saleh , Tim Hoolihan, Learnkart Technology...

Want to get to grips with one of the most popular machine learning libraries for deep learning? The Deep Learning with PyTorch Workshop will help you do just that, jumpstarting your knowledge of using PyTorch for deep learning even if you’re starting from scratch.It’s no surprise that deep learning’s popularity has risen steeply in the past few years, thanks to intelligent applications such as self-driving vehicles, chatbots, and voice-activated assistants that are making our lives easier. This book will take you inside the world of deep learning, where you’ll use PyTorch to understand the complexity of neural network architectures.The Deep Learning with PyTorch Workshop starts with an introduction to deep learning and its applications. You’ll explore the syntax of PyTorch and learn how to define a network architecture and train a model. Next, you’ll learn about three main neural network architectures - convolutional, artificial, and recurrent - and even solve real-world data problems using these networks. Later chapters will show you how to create a style transfer model to develop a new image from two images, before finally taking you through how RNNs store memory to solve key data issues.By the end of this book, you’ll have mastered the essential concepts, tools, and libraries of PyTorch to develop your own deep neural networks and intelligent apps.