The Applied Tensorflow And Keras Workshop

The Applied TensorFlow and Keras Workshop PDF
Author: Harveen Singh Chadha
Publisher: Packt Publishing Ltd
ISBN: 1800204078
Size: 74.90 MB
Format: PDF, Kindle
Category : Computers
Languages : en
Pages : 174
View: 6259

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The Applied Tensorflow And Keras Workshop

by Harveen Singh Chadha, The Applied Tensorflow And Keras Workshop Books available in PDF, EPUB, Mobi Format. Download The Applied Tensorflow And Keras Workshop books, Cut through the noise and get real results with this workshop for beginners. Use a project-based approach to exploring machine learning with TensorFlow and Keras. Key Features Understand the nuances of setting up a deep learning programming environment Gain insights into the common components of a neural network and its essential operations Get to grips with deploying a machine learning model as an interactive web application with Flask Book Description Machine learning gives computers the ability to learn like humans. It is becoming increasingly transformational to businesses in many forms, and a key skill to learn to prepare for the future digital economy. As a beginner, you'll unlock a world of opportunities by learning the techniques you need to contribute to the domains of machine learning, deep learning, and modern data analysis using the latest cutting-edge tools. The Applied TensorFlow and Keras Workshop begins by showing you how neural networks work. After you've understood the basics, you will train a few networks by altering their hyperparameters. To build on your skills, you'll learn how to select the most appropriate model to solve the problem in hand. While tackling advanced concepts, you'll discover how to assemble a deep learning system by bringing together all the essential elements necessary for building a basic deep learning system - data, model, and prediction. Finally, you'll explore ways to evaluate the performance of your model, and improve it using techniques such as model evaluation and hyperparameter optimization. By the end of this book, you'll have learned how to build a Bitcoin app that predicts future prices, and be able to build your own models for other projects. What you will learn Familiarize yourself with the components of a neural network Understand the different types of problems that can be solved using neural networks Explore different ways to select the right architecture for your model Make predictions with a trained model using TensorBoard Discover the components of Keras and ways to leverage its features in your model Explore how you can deal with new data by learning ways to retrain your model Who this book is for If you are a data scientist or a machine learning and deep learning enthusiast, who is looking to design, train, and deploy TensorFlow and Keras models into real-world applications, then this workshop is for you. Knowledge of computer science and machine learning concepts and experience in analyzing data will help you to understand the topics explained in this book with ease.


The Deep Learning With Keras Workshop

The Deep Learning with Keras Workshop PDF
Author: Matthew Moocarme
Publisher: Packt Publishing Ltd
ISBN: 1839215720
Size: 65.50 MB
Format: PDF, ePub, Docs
Category : Computers
Languages : en
Pages : 446
View: 7419

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The Deep Learning With Keras Workshop

by Matthew Moocarme, The Deep Learning With Keras Workshop Books available in PDF, EPUB, Mobi Format. Download The Deep Learning With Keras Workshop books, Cut through the noise and get real results with a step-by-step approach to understanding deep learning with Keras programming Key Features Ideal for those getting started with Keras for the first time A step-by-step Keras tutorial with exercises and activities that help build key skills Structured to let you progress at your own pace, on your own terms Use your physical print copy to redeem free access to the online interactive edition Book Description You already know that you want to learn Keras, and a smarter way to learn is to learn by doing. The Deep Learning with Keras Workshop focuses on building up your practical skills so that you can develop artificial intelligence applications or build machine learning models with Keras. You'll learn from real examples that lead to real results. Throughout The Deep Learning with Keras Workshop, you'll take an engaging step-by-step approach to understand Keras. You won't have to sit through any unnecessary theory. If you're short on time you can jump into a single exercise each day or spend an entire weekend tinkering with your own neural networks. It's your choice. Learning on your terms, you'll build up and reinforce key skills in a way that feels rewarding. Every physical print copy of The Deep Learning with Keras Workshop unlocks access to the interactive edition. With videos detailing all exercises and activities, you'll always have a guided solution. You can also benchmark yourself against assessments, track progress, and receive content updates. You'll even earn a secure credential that you can share and verify online upon completion. It's a premium learning experience that's included with your printed copy. To redeem, follow the instructions located at the start of your book. Fast-paced and direct, The Deep Learning with Keras Workshop is the ideal companion for those who are just getting started with Keras. You'll build and iterate on your code like a software developer, learning along the way. This process means that you'll find that your new skills stick, embedded as best practice. A solid foundation for the years ahead. What you will learn Gain insight into the fundamental concepts of neural networks Learn to think like a data scientist and understand the difference between machine learning and deep learning Discover various techniques to evaluate, tweak, and improve your models Explore different techniques to manipulate your data Explore alternative techniques to verify the accuracy of your model Who this book is for Our goal at Packt is to help you be successful, in whatever it is that you choose to do. The Deep Learning with Keras Workshop is an ideal tutorial for the programmer who is getting started with Keras and deep learning. Pick up a Workshop today and let Packt help you develop skills that stick with you for life.


The Deep Learning Workshop

The Deep Learning Workshop PDF
Author: Mirza Rahim Baig
Publisher: Packt Publishing Ltd
ISBN: 1839210567
Size: 33.82 MB
Format: PDF, Mobi
Category : Computers
Languages : en
Pages : 474
View: 1158

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The Deep Learning Workshop

by Mirza Rahim Baig, The Deep Learning Workshop Books available in PDF, EPUB, Mobi Format. Download The Deep Learning Workshop books, Take a hands-on approach to understanding deep learning and build smart applications that can recognize images and interpret text Key Features Understand how to implement deep learning with TensorFlow and Keras Learn the fundamentals of computer vision and image recognition Study the architecture of different neural networks Book Description Are you fascinated by how deep learning powers intelligent applications such as self-driving cars, virtual assistants, facial recognition devices, and chatbots to process data and solve complex problems? Whether you are familiar with machine learning or are new to this domain, The Deep Learning Workshop will make it easy for you to understand deep learning with the help of interesting examples and exercises throughout. The book starts by highlighting the relationship between deep learning, machine learning, and artificial intelligence and helps you get comfortable with the TensorFlow 2.0 programming structure using hands-on exercises. You'll understand neural networks, the structure of a perceptron, and how to use TensorFlow to create and train models. The book will then let you explore the fundamentals of computer vision by performing image recognition exercises with convolutional neural networks (CNNs) using Keras. As you advance, you'll be able to make your model more powerful by implementing text embedding and sequencing the data using popular deep learning solutions. Finally, you'll get to grips with bidirectional recurrent neural networks (RNNs) and build generative adversarial networks (GANs) for image synthesis. By the end of this deep learning book, you'll have learned the skills essential for building deep learning models with TensorFlow and Keras. What you will learn Understand how deep learning, machine learning, and artificial intelligence are different Develop multilayer deep neural networks with TensorFlow Implement deep neural networks for multiclass classification using Keras Train CNN models for image recognition Handle sequence data and use it in conjunction with RNNs Build a GAN to generate high-quality synthesized images Who this book is for If you are interested in machine learning and want to create and train deep learning models using TensorFlow and Keras, this workshop is for you. A solid understanding of Python and its packages, along with basic machine learning concepts, will help you to learn the topics quickly.


Applied Cryptography And Network Security Workshops

Applied Cryptography and Network Security Workshops PDF
Author: Jianying Zhou
Publisher: Springer Nature
ISBN: 303061638X
Size: 24.11 MB
Format: PDF, Docs
Category : Computers
Languages : en
Pages : 584
View: 3669

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Applied Cryptography And Network Security Workshops

by Jianying Zhou, Applied Cryptography And Network Security Workshops Books available in PDF, EPUB, Mobi Format. Download Applied Cryptography And Network Security Workshops books, This book constitutes the proceedings of the satellite workshops held around the 18th International Conference on Applied Cryptography and Network Security, ACNS 2020, in Rome, Italy, in October 2020. The 31 papers presented in this volume were carefully reviewed and selected from 65 submissions. They stem from the following workshops: AIBlock 2020: Second International Workshop on Application Intelligence and Blockchain Security AIHWS 2020: First International Workshop on Artificial Intelligence in Hardware Security AIoTS 2020: Second International Workshop on Artificial Intelligence and Industrial Internet-of-Things Security Cloud S&P 2020: Second International Workshop on Cloud Security and Privacy SCI 2020: First International Workshop on Secure Cryptographic Implementation SecMT 2020: First International Workshop on Security in Mobile Technologies SiMLA 2020: Second International Workshop on Security in Machine Learning and its Applications


Computer Vision Accv 2018 Workshops

Computer Vision     ACCV 2018 Workshops PDF
Author: Gustavo Carneiro
Publisher: Springer
ISBN: 303021074X
Size: 69.69 MB
Format: PDF, Mobi
Category : Computers
Languages : en
Pages : 541
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Computer Vision Accv 2018 Workshops

by Gustavo Carneiro, Computer Vision Accv 2018 Workshops Books available in PDF, EPUB, Mobi Format. Download Computer Vision Accv 2018 Workshops books, This LNCS workshop proceedings, ACCV 2018, contains carefully reviewed and selected papers from 11 workshops, each having different types or programs: Scene Understanding and Modelling (SUMO) Challenge, Learning and Inference Methods for High Performance Imaging (LIMHPI), Attention/Intention Understanding (AIU), Museum Exhibit Identification Challenge (Open MIC) for Domain Adaptation and Few-Shot Learning, RGB-D - Sensing and Understanding via Combined Colour and Depth, Dense 3D Reconstruction for Dynamic Scenes, AI Aesthetics in Art and Media (AIAM), Robust Reading (IWRR), Artificial Intelligence for Retinal Image Analysis (AIRIA), Combining Vision and Language, Advanced Machine Vision for Real-life and Industrially Relevant Applications (AMV).


Beginning Anomaly Detection Using Python Based Deep Learning

Beginning Anomaly Detection Using Python Based Deep Learning PDF
Author: Sridhar Alla
Publisher: Apress
ISBN: 1484251776
Size: 24.25 MB
Format: PDF, ePub
Category : Computers
Languages : en
Pages : 416
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Beginning Anomaly Detection Using Python Based Deep Learning

by Sridhar Alla, Beginning Anomaly Detection Using Python Based Deep Learning Books available in PDF, EPUB, Mobi Format. Download Beginning Anomaly Detection Using Python Based Deep Learning books, Utilize this easy-to-follow beginner's guide to understand how deep learning can be applied to the task of anomaly detection. Using Keras and PyTorch in Python, the book focuses on how various deep learning models can be applied to semi-supervised and unsupervised anomaly detection tasks. This book begins with an explanation of what anomaly detection is, what it is used for, and its importance. After covering statistical and traditional machine learning methods for anomaly detection using Scikit-Learn in Python, the book then provides an introduction to deep learning with details on how to build and train a deep learning model in both Keras and PyTorch before shifting the focus to applications of the following deep learning models to anomaly detection: various types of Autoencoders, Restricted Boltzmann Machines, RNNs & LSTMs, and Temporal Convolutional Networks. The book explores unsupervised and semi-supervised anomaly detection along with the basics of time series-based anomaly detection. By the end of the book you will have a thorough understanding of the basic task of anomaly detection as well as an assortment of methods to approach anomaly detection, ranging from traditional methods to deep learning. Additionally, you are introduced to Scikit-Learn and are able to create deep learning models in Keras and PyTorch. What You Will Learn Understand what anomaly detection is and why it is important in today's world Become familiar with statistical and traditional machine learning approaches to anomaly detection using Scikit-Learn Know the basics of deep learning in Python using Keras and PyTorch Be aware of basic data science concepts for measuring a model's performance: understand what AUC is, what precision and recall mean, and more Apply deep learning to semi-supervised and unsupervised anomaly detection Who This Book Is For Data scientists and machine learning engineers interested in learning the basics of deep learning applications in anomaly detection


                                PDF
Author: ستيفن ولفرام
Publisher: ktab INC.
ISBN: 9772812436
Size: 37.87 MB
Format: PDF, ePub
Category :
Languages : ar
Pages : 126
View: 2269

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by ستيفن ولفرام, Books available in PDF, EPUB, Mobi Format. Download books, منذ ثلاثة قرون حدث تحول درامي في العالم عندما ظهرت فكرة تستند على أن القواعد المبنية على المعادلات الرياضية يمكن أن تستخدم لوصف العالم الطبيعي من حولنا . هدف هذا الكتاب هو بدء تحول آخر ، و وضع مقدمة لعلم جديد مبنى على فكرة القواعد الأكثر شمولاً و عمومية الكامنة في (البرامج الحاسوبية البسيطة) .