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Remember the thrill of tearing open a gift on Christmas morning, discovering a brand-new Transformer in a shiny new box? While the toys were amazing in their own right, what made the packages stand head-and-shoulders above the myriad competing action figures on shelves was the stunning box art. Transformers: Legacy collects hundreds of beautifully airbrushed paintings from the iconic first decade of The Transformers. Hasbro, Takara, and private collectors opened their archives, yielding an unparalled level of quality. Essays and interviews from the original illustrators give unprecedented insight into the process behind the art. This book is chock-full of extras, including never-before-seen artwork from toys that never were, original design sketches, catalog artwork, and more.
Presents unreleased concept sketches and pre-production paintings from the game's designers that illustrate the back story of the Autobots and Decepticons.
It can be impossible to find all the sketch and variant covers published for IDW's line of Transformers comics, so we're here to help the fans! In The Art of IDW's Transformers you'll find each and every limited edition or sketch cover IDW published for Beast Wars, Generations, Infiltration, Spotlights, Escalation, Stormbringer and Evolutions, collected together in one hardcover, oversized volume. The perfect addition to any Transformers collection, this volume also includes sketches from fan-favorite artists E.J. Su and Don Figueroa!
Explore the rich world of Transformers Prime! Loaded with character animation models, concept art, interviews with the creators and more, Transformers: The Art of Prime provides and unprecendented look behind the scenes of bringing the TF Prime universe to television audiences. Jim Sorenson (Transformers The Ark, Transformers AllSpark Almanac) brings this deep, vivid world into focus!
Take a problem-solving approach to learning all about transformers and get up and running in no time by implementing methodologies that will build the future of NLP Key Features Explore quick prototyping with up-to-date Python libraries to create effective solutions to industrial problems Solve advanced NLP problems such as named-entity recognition, information extraction, language generation, and conversational AI Monitor your model's performance with the help of BertViz, exBERT, and TensorBoard Book DescriptionTransformer-based language models have dominated natural language processing (NLP) studies and have now become a new paradigm. With this book, you'll learn how to build various transformer-based NLP applications using the Python Transformers library. The book gives you an introduction to Transformers by showing you how to write your first hello-world program. You'll then learn how a tokenizer works and how to train your own tokenizer. As you advance, you'll explore the architecture of autoencoding models, such as BERT, and autoregressive models, such as GPT. You'll see how to train and fine-tune models for a variety of natural language understanding (NLU) and natural language generation (NLG) problems, including text classification, token classification, and text representation. This book also helps you to learn efficient models for challenging problems, such as long-context NLP tasks with limited computational capacity. You'll also work with multilingual and cross-lingual problems, optimize models by monitoring their performance, and discover how to deconstruct these models for interpretability and explainability. Finally, you'll be able to deploy your transformer models in a production environment. By the end of this NLP book, you'll have learned how to use Transformers to solve advanced NLP problems using advanced models.What you will learn Explore state-of-the-art NLP solutions with the Transformers library Train a language model in any language with any transformer architecture Fine-tune a pre-trained language model to perform several downstream tasks Select the right framework for the training, evaluation, and production of an end-to-end solution Get hands-on experience in using TensorBoard and Weights & Biases Visualize the internal representation of transformer models for interpretability Who this book is for This book is for deep learning researchers, hands-on NLP practitioners, as well as ML/NLP educators and students who want to start their journey with Transformers. Beginner-level machine learning knowledge and a good command of Python will help you get the best out of this book.
The complete guide to drawing Transformers, those amazing robots in disguise: Master the essential comic-book arts of penciling, inking, and coloring, Develop your drawing skills using new artworks, trace overlays, foldout pages, and stencils, Learn to draw Transformers as vehicles, as robots, and in battle, Get tips on how to make your own comic. Pick up a pencil and watch your favorite Transformers come to life! Book jacket.
"G.I. Joe is a highly trained, special mission force. It's mission: to defend the world and freedom from COBRA, a ruthless terrorist organization determined to rule the world."--Page [3].
Enter the thrilling world of Transformers: War for Cybertron Trilogy with this deluxe making-of art book. The fate of Cybertron lies in the hands of the Autobots in this gripping new animated series. The Art and Making of Transformers: War For Cybertron Trilogy provides an incredible behind-the-scenes look at the conception of this exhilarating new story and gives readers insight into the exacting character design that brought the Autobots, Decepticons, Maximals, and Predacons to life. Featuring hundreds of pieces of gorgeous concept art, this deluxe hardcover shows the painstaking detail that went into the creation of the technological world of Cybertron, the vastness of space, and the wilderness of prehistoric Earth. With stunning imagery and exclusive interviews with the show’s creators, producers, artists, voice actors, and more, this book will provide the ultimate look into the crafting of the action-packed series.
"Five years previously, Rodimus and a collection of traumatised, lovelorn and/or sarcastic Autobots set off on a quest to find Cyberutopia. So far, they've made a right hash of it. They've misplaced their map. They've lost their ship, the Lost Light, to a mutinous escapologist. Oh, and they're dead"--]cBack cover.