| 000 | camKi | |
| 001 | 2210080896860 | |
| 003 | OCoLC | |
| 005 | 20210225114524 | |
| 006 | m d | |
| 007 | cr cnu---unuuu | |
| 008 | 190413s2019 enk ob 000 0 eng d | |
| 020 | ▼a1789347041 | |
| 020 | ▼a9781789347043▼q(electronic bk.) | |
| 035 | ▼a2094769▼b(N▼T) | |
| 035 | ▼a(OCoLC)1096524450 | |
| 037 | ▼aDD16437E-C920-4A42-9F14-C43DAC46DFB9▼bOverDrive, Inc.▼nhttp://www.overdrive.com | |
| 040 | ▼aEBLCP▼beng▼epn▼cEBLCP▼dTEFOD▼dUKAHL▼dTEFOD▼dOCLCF▼dOCLCQ▼dN▼d221008 | |
| 050 | ▼aQA76.59 | |
| 082 | ▼a004.165▼223 | |
| 100 | ▼aNG, Karthikeyan. | |
| 245 | 00 | ▼aMobile artificial intelligence projects :▼bdevelop seven projects on your smartphone using artificial intelligence and deep learning techniques /▼cKarthikeyan NG, Arun Padmanabhan, Matt R. Cole. |
| 260 | ▼aBirmingham :▼bPackt Publishing Ltd,▼c2019. | |
| 300 | ▼a1 online resource (303 pages) | |
| 336 | ▼atext▼btxt▼2rdacontent | |
| 337 | ▼acomputer▼bc▼2rdamedia | |
| 338 | ▼aonline resource▼bcr▼2rdacarrier | |
| 500 | 00 | ▼aRunning the training script |
| 504 | ▼aIncludes bibliographical references. | |
| 505 | ▼aIntro; Cover; Title Page; Copyright and Credits; Dedication; About Packt; Contributors; Table of Contents; Preface; Chapter 1: Artificial Intelligence Concepts and Fundamentals; AI versus machine learning versus deep learning; Evolution of AI; The mechanics behind ANNs; Biological neurons; Working of artificial neurons; Scenario 1; Scenario 2; Scenario 3; ANNs; Activation functions; Sigmoid function; Tanh function; ReLU function ; Cost functions; Mean squared error; Cross entropy; Gradient descent; Backpropagation -- a method for neural networks to learn; Softmax; TensorFlow Playground | |
| 505 | ▼aCreating a new Android project with a single screenDesigning the layout of the screen; Adding a functionality to accept input; Adding a functionality to consume the RESTful API that serves the model; Additional notes; Creating an iOS app to predict house prices; Downloading and installing Xcode; Creating a new iOS project with a single screen; Designing the layout of the screen; Adding a functionality to accept input; Adding a functionality to consume the RESTful API that serves the model; Additional notes; Summary | |
| 505 | ▼aChapter 3: Implementing Deep Net Architectures to Recognize Handwritten DigitsBuilding a feedforward neural network to recognize handwritten digits, version one; Building a feedforward neural network to recognize handwritten digits, version two; Building a deeper neural network; Introduction to Computer Vision; Machine learning for Computer Vision; Conferences help on Computer Vision; Summary; Further reading; Chapter 4: Building a Machine Vision Mobile App to Classify Flower Species; CoreML versus TensorFlow Lite; CoreML; TensorFlow Lite; What is MobileNet?; Datasets for image classification | |
| 505 | ▼aCreating your own image dataset using Google imagesAlternate approach of creating custom datasets from videos; Building your model using TensorFlow; Running TensorBoard; Summary; Chapter 5: Building an ML Model to Predict Car Damage Using TensorFlow; Transfer learning basics; Approaches to transfer learning; Building the TensorFlow model; Installing TensorFlow; Training the images; Building our own model; Retraining with our own images; Architecture; Distortions; Hyperparameters; Image dataset collection; Introduction to Beautiful Soup; Examples; Dataset preparation | |
| 520 | ▼aFurther reading; Chapter 2: Creating a Real-Estate Price Prediction Mobile App; Setting up the artificial intelligence environment ; Downloading and installing Anaconda; Advantages of Anaconda; Creating an Anaconda environment; Installing dependencies; Building an ANN model for prediction using Keras and TensorFlow; Serving the model as an API; Building a simple API to add two numbers; Building an API to predict the real estate price using the saved model; Creating an Android app to predict house prices; Downloading and installing Android Studio | |
| 520 | ▼aArtificial intelligence (AI) is rapidly becoming the most popular topic in business and science. This book introduces AI concepts and their use cases with a hands-on and application-focused approach. We will cover a range of projects covering tasks such as automated reasoning, facial recognition, digital assistants, auto text generation, and more. | |
| 588 | ▼aPrint version record. | |
| 590 | ▼aAdded to collection customer.56279.3 | |
| 650 | ▼aArtificial intelligence. | |
| 650 | ▼aMobile computing. | |
| 650 | ▼aArtificial intelligence.▼2fast▼0(OCoLC)fst00817247 | |
| 650 | ▼aMobile computing.▼2fast▼0(OCoLC)fst01024221 | |
| 655 | ▼aElectronic books. | |
| 700 | ▼aPadmanabhan, Arun. | |
| 700 | ▼aCole, Matt R. | |
| 776 | ▼iPrint version:▼aNG, Karthikeyan.▼tMobile Artificial Intelligence Projects : Develop Seven Projects on Your Smartphone Using Artificial Intelligence and Deep Learning Techniques.▼dBirmingham : Packt Publishing Ltd, 짤2019▼z9781789344073 | |
| 856 | ▼3EBSCOhost▼uhttp://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=2094769 | |
| 938 | ▼aAskews and Holts Library Services▼bASKH▼nAH36147894 | |
| 938 | ▼aProQuest Ebook Central▼bEBLB▼nEBL5744466 | |
| 938 | ▼aEBSCOhost▼bEBSC▼n2094769 | |
| 994 | ▼a92▼bN |
Mobile artificial intelligence projects :develop seven projects on your smartphone using artificial intelligence and deep learning techniques /Karthikeyan NG, Arun Padmanabhan, Matt R. Cole
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Mobile artificial intelligence projects :develop seven projects on your smartphone using artificial intelligence and deep learning techniques /Karthikeyan NG, Arun Padmanabhan, Matt R. Cole
발행사항
Birmingham : Packt Publishing Ltd 2019.
형태사항
1 online resource (303 pages)
주기사항
Running the training script / Includes bibliographical references. / Further reading; Chapter 2: Creating a Real-Estate Price Prediction Mobile App; Setting up the artificial intelligence environment ; Downloading and installing Anaconda; Advantages of Anaconda; Creating an Anaconda environment; Installing dependencies; Building an ANN model for prediction using Keras and TensorFlow; Serving the model as an API; Building a simple API to add two numbers; Building an API to predict the real estate price using the saved model; Creating an Android app to predict house prices; Downloading and installing Android Studio / Artificial intelligence (AI) is rapidly becoming the most popular topic in business and science. This book introduces AI concepts and their use cases with a hands-on and application-focused approach. We will cover a range of projects covering tasks such as automated reasoning, facial recognition, digital assistants, auto text generation, and more.
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