| LDR | | 05403cmm u2200565Ki 4500 |
| 001 | | 000000316183 |
| 003 | | OCoLC |
| 005 | | 20230525175933 |
| 006 | | m d |
| 007 | | cr cnu---unuuu |
| 008 | | 190413s2019 enk ob 000 0 eng d |
| 020 | |
▼a 1789347041 |
| 020 | |
▼a 9781789347043
▼q (electronic bk.) |
| 035 | |
▼a 2094769
▼b (N$T) |
| 035 | |
▼a (OCoLC)1096524450 |
| 037 | |
▼a DD16437E-C920-4A42-9F14-C43DAC46DFB9
▼b OverDrive, Inc.
▼n http://www.overdrive.com |
| 040 | |
▼a EBLCP
▼b eng
▼e pn
▼c EBLCP
▼d TEFOD
▼d UKAHL
▼d TEFOD
▼d OCLCF
▼d OCLCQ
▼d N$T
▼d 248032 |
| 049 | |
▼a MAIN |
| 050 | 4 |
▼a QA76.59 |
| 082 | 04 |
▼a 004.165
▼2 23 |
| 100 | 1 |
▼a NG, Karthikeyan. |
| 245 | 10 |
▼a Mobile artificial intelligence projects :
▼b develop seven projects on your smartphone using artificial intelligence and deep learning techniques /
▼c Karthikeyan NG, Arun Padmanabhan, Matt R. Cole. |
| 260 | |
▼a Birmingham :
▼b Packt Publishing Ltd,
▼c 2019. |
| 300 | |
▼a 1 online resource (303 pages) |
| 336 | |
▼a text
▼b txt
▼2 rdacontent |
| 337 | |
▼a computer
▼b c
▼2 rdamedia |
| 338 | |
▼a online resource
▼b cr
▼2 rdacarrier |
| 500 | |
▼a Running the training script |
| 504 | |
▼a Includes bibliographical references. |
| 505 | 0 |
▼a Intro; 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 | 8 |
▼a Creating 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 | 8 |
▼a Chapter 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 | 8 |
▼a Creating 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 | |
▼a 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 |
| 520 | |
▼a 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. |
| 588 | 0 |
▼a Print version record. |
| 590 | |
▼a Added to collection customer.56279.3 |
| 650 | 0 |
▼a Artificial intelligence. |
| 650 | 0 |
▼a Mobile computing. |
| 650 | 7 |
▼a Artificial intelligence.
▼2 fast
▼0 (OCoLC)fst00817247 |
| 650 | 7 |
▼a Mobile computing.
▼2 fast
▼0 (OCoLC)fst01024221 |
| 655 | 4 |
▼a Electronic books. |
| 700 | 1 |
▼a Padmanabhan, Arun. |
| 700 | 1 |
▼a Cole, Matt R. |
| 776 | 08 |
▼i Print version:
▼a NG, Karthikeyan.
▼t Mobile Artificial Intelligence Projects : Develop Seven Projects on Your Smartphone Using Artificial Intelligence and Deep Learning Techniques.
▼d Birmingham : Packt Publishing Ltd, 짤2019
▼z 9781789344073 |
| 856 | 40 |
▼3 EBSCOhost
▼u http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=2094769 |
| 938 | |
▼a Askews and Holts Library Services
▼b ASKH
▼n AH36147894 |
| 938 | |
▼a ProQuest Ebook Central
▼b EBLB
▼n EBL5744466 |
| 938 | |
▼a EBSCOhost
▼b EBSC
▼n 2094769 |
| 990 | |
▼a 관리자 |
| 994 | |
▼a 92
▼b N$T |