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TensorFlow.js 1.0 (TF Dev Summit '19)17:51

TensorFlow.js 1.0 (TF Dev Summit '19)

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TensorFlow World 2019 Keynote76:41

TensorFlow World 2019 Keynote

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Netlify Tutorial - How to build and deploy websites using Netlify212:20

Netlify Tutorial - How to build and deploy websites using Netlify

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Fluffy and Delicious Japanese street food! $1 Cheap ingredients! Easy homemade Souffle pancake04:13

Fluffy and Delicious Japanese street food! $1 Cheap ingredients! Easy homemade Souffle pancake

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Introducción a Machine Learning (ML Zero to Hero, parte 1)06:19

Introducción a Machine Learning (ML Zero to Hero, parte 1)

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Einführung in Maschinelles Lernen (ML Zero to Hero, Teil 1)08:11

Einführung in Maschinelles Lernen (ML Zero to Hero, Teil 1)

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Intro to Machine Learning (ML Zero to Hero, part 1)07:18

Intro to Machine Learning (ML Zero to Hero, part 1)

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Microsoft Build 2018 keynote in under 5 minutes04:59

Microsoft Build 2018 keynote in under 5 minutes

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TensorFlow World 2019 | Day 2 Livestream PM260:18

TensorFlow World 2019 | Day 2 Livestream PM

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TensorFlow Lite: Solution for running ML on-device (TF World '19)33:43

TensorFlow Lite: Solution for running ML on-device (TF World '19)

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Build an image classifier (ML Zero to Hero, part 4)05:27

Build an image classifier (ML Zero to Hero, part 4)

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Machine Learning Fairness: Lessons Learned (Google I/O'19)36:23

Machine Learning Fairness: Lessons Learned (Google I/O'19)

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TFRT: A new TensorFlow runtime (TF Dev Summit '20)10:10

TFRT: A new TensorFlow runtime (TF Dev Summit '20)

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ML with Recurrent Neural Networks (NLP Zero to Hero - Part 4)05:59

ML with Recurrent Neural Networks (NLP Zero to Hero - Part 4)

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Computer vision básica con ML (ML Zero to Hero, parte 2)06:20

Computer vision básica con ML (ML Zero to Hero, parte 2)

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Erstellen eines Bildklassifizierers (ML Zero to Hero, Teil 4)06:26

Erstellen eines Bildklassifizierers (ML Zero to Hero, Teil 4)

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Mod-03 Lec-08 Bayesian Estimation examples; the exponential family of densities and ML estimates57:05

Mod-03 Lec-08 Bayesian Estimation examples; the exponential family of densities and ML estimates

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Introducing convolutional neural networks (ML Zero to Hero, part 3)05:33

Introducing convolutional neural networks (ML Zero to Hero, part 3)

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Construye un clasificador de imagen (ML Zero to Hero, parte 4)05:50

Construye un clasificador de imagen (ML Zero to Hero, parte 4)

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Introdução ao Machine Learning (ML de Zero a 100, parte 1)06:51

Introdução ao Machine Learning (ML de Zero a 100, parte 1)

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TensorFlow Enterprise: Productionizing TensorFlow with Google Cloud (TF Dev Summit '20)10:25

TensorFlow Enterprise: Productionizing TensorFlow with Google Cloud (TF Dev Summit '20)

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Fish cake soup (Eomukguk: 어묵국)08:37

Fish cake soup (Eomukguk: 어묵국)

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Build and deploy a portfolio website [Full Tutorial Course]143:16

Build and deploy a portfolio website [Full Tutorial Course]

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Einfuehrung in Konvolutionale Neuronale Netzwerke (ML Zero to Hero, Teil 3)05:54

Einfuehrung in Konvolutionale Neuronale Netzwerke (ML Zero to Hero, Teil 3)

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TensorFlow Lite (TensorFlow @ O’Reilly AI Conference, San Francisco '18)17:41

TensorFlow Lite (TensorFlow @ O’Reilly AI Conference, San Francisco '18)

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Introducción a las redes neuronales convolucionales (ML Zero to Hero, parte 3)05:54

Introducción a las redes neuronales convolucionales (ML Zero to Hero, parte 3)

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TF Lattice: Control Your ML with Monotonicity (TF Dev Summit '19)05:07

TF Lattice: Control Your ML with Monotonicity (TF Dev Summit '19)

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What exactly is this TFX thing? (TensorFlow Extended)05:46

What exactly is this TFX thing? (TensorFlow Extended)

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Introdução às redes neurais convolucionais (ML de Zero a 100, parte 3)05:23

Introdução às redes neurais convolucionais (ML de Zero a 100, parte 3)

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This Unknown AI Will Blow Your Mind! BYE CHATGPT…09:06

This Unknown AI Will Blow Your Mind! BYE CHATGPT…

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How to take advantage of GPUs and TPUs for your ML project (Coding TensorFlow)04:24

How to take advantage of GPUs and TPUs for your ML project (Coding TensorFlow)

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Fried Gochujang (Yakgochujang: 약고추장)06:29

Fried Gochujang (Yakgochujang: 약고추장)

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Prepare your data for ML | Text Classification Tutorial Pt. 1 (Coding TensorFlow)04:25

Prepare your data for ML | Text Classification Tutorial Pt. 1 (Coding TensorFlow)

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03 - Tests for hydrogen and oxygen gas03:02

03 - Tests for hydrogen and oxygen gas

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Using ML to predict insulin use for Type 1 Diabetes (TensorFlow Meets)12:48

Using ML to predict insulin use for Type 1 Diabetes (TensorFlow Meets)

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How Much Tea for Gong Fu Brewing?08:47

How Much Tea for Gong Fu Brewing?

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How To Clean Leather Shoes01:33

How To Clean Leather Shoes

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How to convert your ML model to TensorFlow Lite (TensorFlow Tip of the Week)02:37

How to convert your ML model to TensorFlow Lite (TensorFlow Tip of the Week)

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Apple’s Arm-based M1 Mac event in 10 minutes10:23

Apple’s Arm-based M1 Mac event in 10 minutes

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Interview With My Brother Who Sold His Startup For $60 Million | Machine Learning Engineer29:20

Interview With My Brother Who Sold His Startup For $60 Million | Machine Learning Engineer

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Chemistry: Introduction to Unit Conversion / Dimensional Analysis (Part 2) | Homework Tutor04:48

Chemistry: Introduction to Unit Conversion / Dimensional Analysis (Part 2) | Homework Tutor

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Scott Wu: OpenAI o1 & Coding02:33

Scott Wu: OpenAI o1 & Coding

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Visão computacional básica com Machine Learning (ML de Zero a 100, parte 2)06:48

Visão computacional básica com Machine Learning (ML de Zero a 100, parte 2)

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REAL ENGLISH: Talking about measurements: cm, m, km, ', ", lb, kg, g, oz, ml, cc18:01

REAL ENGLISH: Talking about measurements: cm, m, km, ', ", lb, kg, g, oz, ml, cc

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TensorFlow and ML from the trenches: The Innovation Experience Center at JPL (TF Dev Summit '20)07:47

TensorFlow and ML from the trenches: The Innovation Experience Center at JPL (TF Dev Summit '20)

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NYPD to deploy more officers to ward off any election trouble00:52

NYPD to deploy more officers to ward off any election trouble

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