TensorFlow World 2019

Channel: O'Reilly

Videos (23)

1 — Opening keynote - Jeff Dean
2 — Accelerating ML at Twitter - Theodore Summe
3 — TensorFlow, open source, and IBM (sponsored by IBM) - Frederick Reiss
4 — The latest from TensorFlow - Megan Kacholia
5 — TensorFlow Lite: ML for mobile and IoT devices - Sarah Sirajuddin and Jared Duke
6 — Enterprise-ready TensorFlow in the Cloud (sponsored by Google Cloud Platform) - Craig Wiley
7 — TFX: An end-to-end ML platform for everyone - Konstantinos Katsiapis and Anusha Ramesh
8 — TensorFlow community announcements - Kemal El Moujahid
9 — TensorFlow Hub: The platform to share and discover pretrained models for TensorFlow - Mike Liang
10 — Sticker recommendation and AI-driven Innovations on Hike messaging platform - Ankur Narang
11 — “Human Error”: How can we help people build models that do what they expect - Anna Roth
12 — O'Reilly TensorFlow World Conference 2019
13 — TensorFlow.js: Bringing machine learning to JavaScript - Sandeep Gupta and Joseph Paul Cohen
14 — Personalization of Spotify Home and TensorFlow - Tony Jebara
15 — Accelerating TensorFlow for research and deployment (sponsored by NVIDIA) - Ujval Kapasi
16 — MLIR: Accelerating AI - Chris Lattner and Tatiana Shpeisman
17 — Harnessing and fine-tuning open source ML training models with Al Kari (Manceps)
18 — Creating a visual interface for machine learning with Martin and Robert (PerceptiLabs)
19 — How do we improve and integrate AI in the enterprise with Fred Reiss (IBM)
20 — Deep learning to operationalize infrastructure with Prasad Vellanki (One Convergence)
21 — Building AI trust for healthcare and clinical industries with Asif Hasan (Quantiphi)
22 — Curating machine learning services and models to enable faster adoption with Ujval Kapasi (NVIDIA)
23 — The challenge of deploying ML in a real-world environment with Craig Wiley (Google)