| LDR | | 05156cmm u2200577Ma 4500 |
| 001 | | 000000317712 |
| 003 | | OCoLC |
| 005 | | 20230525183221 |
| 006 | | m d | |
| 007 | | cr ||||||||||| |
| 008 | | 200403s2020 enk o 000 0 eng d |
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▼2 bnb |
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▼a 019760715
▼2 Uk |
| 019 | |
▼a 1150180359 |
| 020 | |
▼a 9781789613995
▼q (e-book) |
| 020 | |
▼a 178961399X |
| 020 | |
▼z 9781789611212 (pbk.) |
| 035 | |
▼a 2432341
▼b (N$T) |
| 035 | |
▼a (OCoLC)1152206297
▼z (OCoLC)1150180359 |
| 037 | |
▼a 9781789613995
▼b Packt Publishing |
| 040 | |
▼a UKAHL
▼b eng
▼c UKAHL
▼d UKMGB
▼d OCLCO
▼d OCLCF
▼d EBLCP
▼d N$T
▼d 248032 |
| 049 | |
▼a MAIN |
| 050 | 4 |
▼a QA76.76.A65 |
| 082 | 04 |
▼a 006.31
▼2 23 |
| 100 | 1 |
▼a Anubhav Singh (author), Rimjhim Bhadani (author) |
| 245 | 10 |
▼a Mobile Deep Learning Projects :
▼b 8 Project Guides to Help You Work Through End-to-End Neural Network Projects on Cross-Platform Apps.
▼c Anubhav Singh (author), Rimjhim Bhadani (author). |
| 250 | |
▼a 1st edition. |
| 260 | |
▼b Packt Publishing,
▼c 2020. |
| 300 | |
▼a 1 online resource |
| 336 | |
▼a text
▼2 rdacontent |
| 337 | |
▼a computer
▼2 rdamedia |
| 338 | |
▼a online resource
▼2 rdacarrier |
| 505 | 0 |
▼a Cover -- Title Page -- Copyright and Credits -- About Packt -- Contributors -- Table of Contents -- Preface -- Chapter 01: Introduction to Deep Learning for Mobile -- Growth of AI-powered mobile devices -- Changes in hardware to support AI -- Why do mobile devices need to have AI chips? -- Improved user experience with AI on mobile devices -- Personalization -- Virtual assistants -- Facial recognition -- AI-powered cameras -- Predictive text -- Most popular mobile applications that use AI -- Netflix -- Seeing AI -- Allo -- English Language Speech Assistant -- Socratic |
| 505 | 8 |
▼a Understanding machine learning and deep learning -- Understanding machine learning -- Understanding deep learning -- The input layer -- The hidden layers -- The output layer -- The activation function -- Introducing some common deep learning architectures -- Convolutional neural networks -- Generative adversarial networks -- Recurrent neural networks -- Long short-term memory -- Introducing reinforcement learning and NLP -- Reinforcement learning -- NLP -- Methods of integrating AI on Android and iOS -- Firebase ML Kit -- Core ML -- Caffe2 -- TensorFlow -- Summary |
| 505 | 8 |
▼a Chapter 02: Mobile Vision -- Face Detection Using On-Device Models -- Technical requirements -- Introduction to image processing -- Understanding images -- Manipulating images -- Rotation -- Grayscale conversion -- Developing a face detection application using Flutter -- Adding the pub dependencies -- Building the application -- Creating the first screen -- Building the row title -- Building the row with button widgets -- Creating the whole user interface -- Creating the second screen -- Getting the image file -- Analyzing the image to detect faces -- Marking the detected faces |
| 505 | 8 |
▼a Displaying the final image on the screen -- Creating the final MaterialApp -- Summary -- Chapter 03: Chatbot Using Actions on Google -- Technical requirements -- Understanding the tools available for creating chatbots -- Wit.ai -- Dialogflow -- How does Dialogflow work? -- Creating a Dialogflow account -- Creating a Dialogflow agent -- Understanding the Dialogflow Console -- Creating an Intent and grabbing entities -- Creating your first action on Google -- Why would you want to build an action on Google? -- Creating Actions on a Google project -- Creating an integration to the Google Assistant |
| 505 | 8 |
▼a Implementing a Webhook -- Deploying a webhook to Cloud Functions for Firebase -- Creating an Action on Google release -- Creating the UI for the conversational application -- Creating the Text Controller -- Creating ChatMessage -- Integrating the Dialogflow agent -- Adding audio interactions with the assistant -- Adding the plugin -- Adding SpeechRecognition -- Adding the mic button -- Summary -- Chapter 04: Recognizing Plant Species -- Technical requirements -- Introducing image classification -- Understanding the project architecture -- Introducing the Cloud Vision API |
| 520 | |
▼a Deep learning is rapidly becoming the most popular topic in the industry. This book introduces trending deep learning concepts and their use cases with an industrial and application-focused approach. You will cover a range of projects covering tasks such as mobile vision, facial recognition, smart AI assistant, augmented reality, and more. |
| 590 | |
▼a OCLC control number change |
| 650 | 0 |
▼a Machine learning. |
| 650 | 0 |
▼a Mobile computing. |
| 650 | 7 |
▼a Machine learning
▼2 fast
▼0 (OCoLC)fst01004795 |
| 650 | 7 |
▼a Mobile computing
▼2 fast
▼0 (OCoLC)fst01024221 |
| 655 | 0 |
▼a Electronic books. |
| 655 | 4 |
▼a Electronic books. |
| 776 | 08 |
▼i Print version :
▼z 9781789611212 |
| 856 | 40 |
▼3 EBSCOhost
▼u http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=2432341 |
| 938 | |
▼a Askews and Holts Library Services
▼b ASKH
▼n AH37330066 |
| 938 | |
▼a ProQuest Ebook Central
▼b EBLB
▼n EBL6166922 |
| 938 | |
▼a EBSCOhost
▼b EBSC
▼n 2432341 |
| 990 | |
▼a 관리자 |
| 994 | |
▼a 92
▼b N$T |