Machine learning and TensorFlow
10 likes2,102 views
The document details the transformative impact of machine learning and TensorFlow on artificial intelligence, highlighting advancements over the past decade such as increased data, computational power, and improved algorithms. It introduces TensorFlow as an open-source library for machine learning, emphasizing its applications in various domains including cloud services, natural language processing, and image recognition. Additionally, it discusses specific use cases in Latin America for optimizing processes in commerce and billing using predictive analysis and machine learning techniques.
Machine learning and TensorFlow
- 1. Machine Learning and TensorFlow Artificial Intelligence Present and Future José Papo Gerente de relações com startups e developers Google América Latina @josepapo
- 3. “Machine learning is a core, transformative way by which we’re re-thinking how we’re doing everything” Sundar Pichai CEO, Google
- 4. “Machine learning will cause every successful huge IPO win in 5 years.” Eric Schmidt Executive Chairman, Alphabet
- 6. ● Artificial General Intelligence ● Artificial Superintelligence ● Artificial Narrow Intelligence Artificial Intelligence
- 7. Machine Learning (Narrow AI)
- 8. Deep Learning (ML on Steroids!!!)
- 10. What’s different now from 10 years ago? WAY MORE DATA More Compute Better Algorithms
- 12. Machine Learning at Google
- 13. Products using Machine Learning
- 19. TensorFlow
- 21. ● Open source Machine Learning library ● Especially useful for Deep Learning ● For research and production ● Apache 2.0 license
- 22. Raspberry Pi DatacentersYour laptop Android iOS Portable & Scalable
- 23. A multidimensional array. A graph of operations.
- 24. Data Flow Graphs Computation is defined as a directed acyclic graph (DAG) to optimize an objective function ● Graph is defined in high-level language (Python) ● Graph is compiled and optimized ● Graph is executed (in parts or fully) on available low level devices (CPU, GPU) ● Data (tensors) flow through the graph ● TensorFlow can compute gradients automatically
- 26. Image source: Wikimedia + = A Neural Algorithm of Artistic Style http://arxiv.org/abs/1508.06576 ?
- 27. Image source: Wikimedia + = A Neural Algorithm of Artistic Style http://arxiv.org/abs/1508.06576
- 28. Image source: Wikimedia + = A Neural Algorithm of Artistic Style http://arxiv.org/abs/1508.06576 goo.gl/fyDxhC
- 29. Most popular ML open source project on GitHub
- 30. Cloud, Mobile, Machine Learning
- 31. Cloud Machine Learning APIs See, Hear and Understand the world
- 33. 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
- 34. Confidential & ProprietaryGoogle Cloud Platform 34 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
- 35. Confidential & ProprietaryGoogle Cloud Platform 35 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
- 36. Mobile Vision API Providing on-device vision for applications
- 37. 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. NEW!
- 38. Face API Photo credit developers.google.com/vision
- 39. Text Detection Latin based language Understand text structure Photo credit Getty Images
- 40. 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
- 41. Machine Learning Democratization Use Cases in Latin America
- 58. ACESSO UNIVERSAL A MEDICINA DE QUALIDADE
- 59. Machine Learning
- 60. AGENDA • Otimização do broadcast • Otimização do processo billing • Personal Cloud Machine Learning
- 62. Otimização do broadcast • Reduzir a quantidade de envio de mensagens de estímulo mantendo a mesma taxa de retorno. comercia l Desafio Proposta • Identificar o comportamento ou características dos usuários mais propensos a responder ao estímulo.
- 63. Otimização do broadcast • Text Mining para tratamento das frases, classificando-as, como por exemplo, pela ideia transmitida. • Análise de modelos preditivos para seleção dos clientes mais propensos. comercia l Processo de análise
- 64. Otimização do broadcast • Prever quem não irá responder a nossa oferta nos dá a possibilidade de pensarmos em algo diferente para este usuário e desta forma conhecê-lo um pouco mais. • Redução de média 40% nos envios de broadcast. comercia l Resultad o
- 65. Otimização do billing • Aumentar o sucesso nas cobranças dos serviços prestados. Desafi o Propost a • Identificar os clientes mais propensos em determinados horários. operacion al
- 66. Otimização do billing • Tratamento e enriquecimento da base de dados com BigQuery. • Análise de modelos preditivos para criação de escore de crédito. Processo de análise operacion al
- 67. Otimização do billing Proposição de uso
- 68. Otimização do billing • Redução de custos com infraestrutura de TI, uso mais inteligente de recursos. • Melhora de 42% em média na acertividade do billing. Resultad o operacion al
- 69. Personal Cloud • Detectar objetos e faces dentro das fotos dos usuários do Personal Cloud para possibilitar busca e criação de álbuns de forma automática Desafi o Propost a • Utilização da API do Google Cloud Vision. usuário s Busca por tags e álbuns automáticos
- 70. Otimização do broadcast Processo de análiseusuário s pé dedo bolsa óculo s praia
- 71. Don’t Think Outside The Box, Think Like There is NO BOX!
- 93. tensorflow.org github.com/tensorflow Want to learn more? Udacity class on Deep Learning, goo.gl/iHssII 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 Learn More...