Search Results - model building code
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Generative AI with LangChain : Build Large Language Model (LLM) Apps with Python, ChatGPT, and Other LLMs.
Published 2023Table of Contents: “…-- Comparing LangChain with other frameworks -- Summary -- Questions -- Chapter 3: Getting Started with LangChain -- How to set up the dependencies for this book -- pip -- Poetry -- Conda -- Docker -- Exploring API model integrations -- Fake LLM -- OpenAI -- Hugging Face -- Google Cloud Platform -- Jina AI -- Replicate -- Others -- Azure -- Anthropic -- Exploring local models -- Hugging Face Transformers -- llama.cpp -- GPT4All -- Building an application for customer service -- Summary -- Questions -- Chapter 4: Building Capable Assistants -- Mitigating hallucinations through fact-checking -- Summarizing information -- Basic prompting -- Prompt templates -- Chain of density -- Map-Reduce pipelines -- Monitoring token usage -- Extracting information from documents -- Answering questions with tools -- Information retrieval with tools -- Building a visual interface -- Exploring reasoning strategies -- Summary -- Questions -- Chapter 5: Building a Chatbot like ChatGPT -- What is a chatbot? …”
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High Tech Concrete: Where Technology and Engineering Meet Proceedings of the 2017 fib Symposium, held in Maastricht, The Netherlands, June 12-14, 2017 /
Published 2018Table of Contents: “…Preface -- Foreword by Hans Ramler -- Sponsors and Organizers -- Scientific Committee -- Organizing Committee -- Keynote Lectures -- Materials Technology -- Modelling, Testing and Design -- Special Loadings -- Safety, Reliability and Codes -- Existing Concrete Structures -- Durability and Life Time -- Sustainability -- Innovative Building Concepts -- Challenging Projects -- Historic Concrete -- Author Index.…”
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Model-Implementation Fidelity in Cyber Physical System Design
Published 2017Full-text access
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Deep Learning with TensorFlow and Keras - 3rd Edition : Build and Deploy Supervised, Unsupervised, Deep, and Reinforcement Learning Models.
Published 2022Table of Contents: “…Multiple and multivariate linear regression using the TensorFlow Keras API -- Classification tasks and decision boundaries -- Logistic regression -- Logistic regression on the MNIST dataset -- Summary -- References -- Chapter 3: Convolutional Neural Networks -- Deep convolutional neural networks -- Local receptive fields -- Shared weights and bias -- A mathematical example -- ConvNets in TensorFlow -- Pooling layers -- Max pooling -- Average pooling -- ConvNets summary -- An example of DCNN: LeNet -- LeNet code in TF -- Understanding the power of deep learning -- Recognizing CIFAR-10 images with deep learning -- Improving the CIFAR-10 performance with a deeper network -- Improving the CIFAR-10 performance with data augmentation -- Predicting with CIFAR-10 -- Very deep convolutional networks for large-scale image recognition -- Recognizing cats with a VGG16 net work -- Utilizing the tf.Keras built-in VGG16 net module -- Recycling pre-built deep learning models for extracting features -- Deep Inception V3 for transfer learning -- Other CNN architectures -- AlexNet -- Residual networks -- HighwayNets and DenseNets -- Xception -- Style transfer -- Content distance -- Style distance -- Summary -- References -- Chapter 4: Word Embeddings -- Word embedding ‒ origins and fundamentals -- Distributed representations -- Static embeddings -- Word2Vec -- GloVe -- Creating your own embeddings using Gensim -- Exploring the embedding space with Gensim -- Using word embeddings for spam detection -- Getting the data -- Making the data ready for use -- Building the embedding matrix -- Defining the spam classifier -- Training and evaluating the model -- Running the spam detector -- Neural embeddings - not just for words -- Item2Vec -- node2vec -- Character and subword embeddings -- Dynamic embeddings -- Sentence and paragraph embeddings.…”
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Computational Intelligence, Cyber Security and Computational Models Proceedings of ICC3 2015 /
Published 2016Table of Contents: “…An Efficient Continuous Auditing Methodology for Outsourced Data Storage in Cloud Computing -- Part IV_Computational Models: Chapter 40. A Study on Building Seamless Communication Among Vehicles in Vanet Using the Integrated Agent Communication Model (IACM) -- Chapter 41. …”
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Creep and Hygrothermal Effects in Concrete Structures
Published 2018Full-text access
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Advances in Informatics and Computing in Civil and Construction Engineering Proceedings of the 35th CIB W78 2018 Conference: IT in Design, Construction, and Management /
Published 2019Table of Contents: “…Intelligent Autonomous Systems -- An autonomous Thermal Scanning System with which to Obtain 3D Thermal Models of Buildings -- Productivity Improvement in the Construction Industry: A Case Study of Mechanization in Singapore -- Automated Building Information Models Reconstruction using 2D Mechanical Drawings -- Architectural Symmetry Detection from 3D Urban Point Clouds: A Derivative-Free Optimization (DFO) approach -- Sequential Pattern Analyses of Damages on Bridge Elements for Preventive Maintenance -- Sound Event Recognition-Based Classification Model for Automated Emergency Detection in Indoor Environment -- Improved Window Detection in Facade Images -- Path Planning of LiDAR-equipped UAV for Bridge Inspection Considering Potential Locations of Defects -- Automatic Annotation of Web Images for Domain-Specific Crack Classification -- A Machine Learning Approach for Compliance Checking-Specific Semantic Role Labeling of Building Code Sentences -- Requirement Text Detection from Contract Packages to Support Project Definition Determination -- In Search of Open and Practical Language-Driven BIM-based Automated Rule Checking Systems -- Image-based Localization for Facilitating Construction Field Reporting on Mobile Devices -- Towards an Automated Asphalt Paving Construction Inspection Operation -- Computer vision and deep learning for real-time pavement distress detection -- A Flight Simulator for Unmanned Aerial Vehicle Flights Over Construction Job Sites -- Bridge Inspection using Bridge Information Modeling (BrIM) and Unmanned Aerial Vehicles (UAVs) -- Part 5. …”
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Wireless Personal Communications Simulation and Complexity /
Published 2018Full-text access
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