xREL.v3

CRO

OREILLY_TENSORFLOW_WORLD_CONFERENCE_2019_SANTA_CLARA_CA_PART1-iLLiTERATE

OWNEER.. OREILLY
DAATEE.. 27.03.2021

SCOOPE.. 62539066kb
SUPORT.. https://learning.oreilly.com/
SUPORT.. https://informit.com/
NOOTES.. THHE ENTIIRE CONFERENCE HAAS A SCOOPE UF ~69 HOURSS AND IS
SPLIITTED IINTO 2 PAARTS (2x ~65GB)

Open source TensorFlow 2.0 is driving the
machine learning (ML) revolution around the globe.
The TensorFlow World Conference Santa Clara 2019
the first international conference devoted to TensorFlow
provided the thousands who attended the conference
with an extraordinary opportunity to see TensorFlow
2.0 in action, discover new ways to use it, and learn
how to successfully implement it in their own enterprises.
This video compilation offers you the chance to
experience the TensorFlow World Conference yourself.
If you get it and explore it, you'll come away with a firm
understanding of the entire machine learning stack,
TensorFlow 2.0, and the reasons why companies like
Spotify, LinkedIn, Amazon, Twitter, and Uber use
TensorFlow to solve complex business problems.

> A front row view for all of the best keynotes,
tutorials, and technical sessions from the
TensorFlow World Conference Santa Clara 2019.
> Complete presentations from some of the world's
top TensorFlow practitioners, including talks by
the people and teams who developed TensorFlow.
> Keynote addresses from TensorFlow's leaders,
such as Google Brain co-founder Jeff Dean;
Theodore Summe, the head of product for Cortex,
Twitter's central ML organization; and Megan Kacholia,
VP of Engineering for Google Research.
> Deep-dive tutorials, including Laurence Moroney's
(Google Brain) primer on ML with TensorFlow;
Sandeep Gupta's (Google) review of ML in JavaScript
using TensorFlow.js; and Neelima Mukiri's (Cisco)
intro to model building and optimization for TensorFlow
in any Kubernetes environment.
> Applications sessions focusing on real-world TensorFlow
implementations, like Asif Hasan's (Quantiphi)
talk on using ML to both predict cancer recurrence
and recommend treatment; Bhushan Jagyasi's (Accenture)
survey of TensorFlow successes in banking and insurance;
and Hamel Husain's (GitHub) review of automating developer
workflows on GitHub with TensorFlow.
> Core Technologies sessions, where you'll hear directly
from TensorFlow team members such as Paige Bailey
(Google) on TensorFlow Swift, a next-generation ML
platform; Raziel Alverez (Google) on TensorFlow model
optimization techniques; and Robby Neale (Google) on
how to build models with tf.text.
> Accelerators sessions, including Victoria Rege (Graphcore)
on how to target high-performance ML accelerators using
TF XLA; Sudipta Sengupta (AWS) on the basics of integrating
deep learning accelerators with TensorFlow; and Manjunath
Kudlur (Cerebras Systems) on the software stack that
connects users and TensorFlow to the Cerebras WSE deep
learning accelerator.
> Production pipeline sessions, such as Robert Crowe's (Google)
tutorial on using TensorFlow TFX to create ML pipelines;
Animesh Singh's (IBM) intro to TFX, hybrid cloud ML pipelines,
and Kubeflow; and Shajan Dasan's (Twitter) explanation
of how Twitter builds reliable, high-scale TensorFlow
inference pipelines.
> Text, Language, and Speech sessions, where you'll learn the
basics of processing human communication from experts like
Kiwisoft's Aur lien G ron (on natural language processing
using transformer architectures) and NVIDIA's Jason Li
(on end-to-end speech recognition using the OpenSeq2Seq
deep learning toolkit).
> Mobile and Edge sessions, such as Kaz Sato (Google)
on using AutoML Vision to support vision recognition
model training on mobile phones and Alasdair Allan
(Babilim Light Industries) on using TensorFlow Lite on
small, embedded devices.
> Multiple sessions on TensorFlow in the enterprise;
TensorFlow ethics, and security; and on TensorFlow
in ML research.

PEARSON OOWNS MAANY EDU BRAANDS INKLUDINNG
ADDISON-WESLEY PEACHPIT PRENTICE-HALL ECOLLEGE
AND MAANY MORE!

WEE ASUMME NO LIIABILLITY FUR A WROONG SPELING
COZ WEE ARRE A NON (iL)LiTERATE GRUP!!

TANNKS TU THE LITERATE ASKII FRIIEND!!