How Can You Get Started with Machine Learning

How To Get Started With ML Using Cloud Platform APIs

Transcript

1. How Can You Get Started with Machine Learning? Manan Arya
2. How Can You Get Started with Machine Learning? Three ways, with varying complexity: (1) Use a Cloud-based API (Vision, Natural Language, etc.) (2) Use existing model architecture, and retrain it on your dataset. (3) Develop your own machine learning models for new problems. More flexible, but more effort required
3. Cloud Machine Learning APIs See, Hear and Understand the world
4. Cloud Natural Language Cloud Speech Cloud Translate Cloud Vision
5. 5 5 Vision API Demo
6. Faces Faces, facial landmarks, emotions OCR Read and extract text, with support for > 10 languages Label Detect entities from furniture to transportation Logos Identify product logos Landmarks & Image Properties Detect landmarks & dominant color of image Safe Search Detect explicit content - adult, violent, medical and spoof Cloud Vision API
7. API Usage: Detect Objects in an Image Image Detected Items Vision API Create JSON request with the image or pointer to an image Process the JSON response Call the REST API 1 2 3
8. Mobile Vision API Providing on-device vision for applications
9. Face API faces, facial landmarks, eyes open, smiling Barcode API 1D and 2D barcodes Text API Latin-based text / structure Common Mobile Vision API Support for fast image and video on-device detection and tracking.
10. Googly Eyes Android App Video credit Google 1. Create a face detector for facial landmarks (e.g., eyes) 3. For each face, draw the eyes FaceDetector detector = new FaceDetector.Builder() .setLandmarkType(FaceDetector.ALL_LANDMAR KS ) .build(); S parseArray<Face> faces = detector.detect(image); for (int i = 0; i < faces.size(); ++i) { Face face = faces.valueAt(i); for (Landmark landmark : face.getLandmarks()) { // Draw eyes 2. Detect faces in the image
11. Face API Photo credit developers.google.com/vision
12. Text Detection Latin based language Understand text structure Photo credit Getty Images
13. Barcode Detection 1D barcodes EAN-13/8 UPC-A/E Code-39/93/128 ITF Codabar 2D barcodes QR Code Data Matrix PDF-417 AZTEC UPC DataMatrix QR Code PDF 417 Video and image credit Google
14. Combined Vision & Translation
15. Confidential & Proprietary Google Cloud Platform 15 Cloud Natural Language API Extract sentence, identify parts of speech and create dependency parse trees for each sentence. Identify entities and label by types such as person, organization, location, events, products and media. Understand the overall sentiment of a block of text. Syntax Analysis Entity Recognition Sentiment Analysis
16. 16 16 Natural Language API Demo
17. Confidential & Proprietary Google Cloud Platform 17 Cloud Speech API Automatic Speech Recognition (ASR) powered by deep learning neural networking to power your applications like voice search or speech transcription. Recognizes over 80 languages and variants with an extensive vocabulary. Returns partial recognition results immediately, as they become available. Filter inappropriate content in text results. Audio input can be captured by an application’s microphone or sent from a pre-recorded audio file. Multiple audio file formats are supported, including FLAC, AMR, PCMU and linear-16. Handles noisy audio from many environments without requiring additional noise cancellation. Audio files can be uploaded in the request and, in future releases, integrated with Google Cloud Storage. Automatic Speech Recognition Global Vocabulary Inappropriate Content Filtering Streaming Recognition Real-time or Buffered Audio Support Noisy Audio Handling Integrated API
18. 18 18 What’s New at Cloud Next’17 ?
19. 19 19 Vidio Intelligence API Demo
20. 20 20 Show me the code..
21. Go Practice Now.. Codelabs codelabs.developers.google.com/codelabs/cloud-vision-intro/index.html codelabs.developers.google.com/codelabs/cloud-speech-intro/index.html codelabs.developers.google.com/codelabs/cloud-nl-intro/index.html For Developers cloud.google.com/vision/ cloud.google.com/speech/ cloud.google.com/natural-language/ cloud.google.com/translate/ Stack Overflow
22. Questions?
23. What’s Next? tensorflow.org Want to learn more? cloud.google.com Udacity class on Deep Learning, goo.gl/iHssII github.com/tensorflow googlecloudplatform.github.io github.com/GoogleCloudPlatform Guides, codelabs, videos MNIST for Beginners, goo.gl/tx8R2b TF Learn Quickstart, goo.gl/uiefRn TensorFlow for Poets, goo.gl/bVjFIL ML Recipes, goo.gl/KewA03 TensorFlow and Deep Learning without a PhD, goo.gl/pHeXe7
24. Thanks and have fun! Manan Arya mananarya22@gmail.com @MananArya22