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About tensorflow engineers results of 1,740

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TensorFlow model optimization: Quantization and pruning (TF World '19)40:50

TensorFlow model optimization: Quantization and pruning (TF World '19)


1
B1
How machine learning helps scientists track asteroids01:22

How machine learning helps scientists track asteroids


17
B2
TF Machine Learning for Programmers (TensorFlow @ O’Reilly AI Conference, San Francisco '18)41:56

TF Machine Learning for Programmers (TensorFlow @ O’Reilly AI Conference, San Francisco '18)


5
A2
TensorFlow and deep reinforcement learning, without a PhD (Google I/O '18)40:47

TensorFlow and deep reinforcement learning, without a PhD (Google I/O '18)


3
B1
TensorFlow.jl: A Julia Front End to the TensorFlow World (TF Dev Summit '19)05:27

TensorFlow.jl: A Julia Front End to the TensorFlow World (TF Dev Summit '19)


2
B1
Sentdex vs Object Detection - Charles 2.0 part. 219:01

Sentdex vs Object Detection - Charles 2.0 part. 2


1
B1
Designing a neural network | Text Classification Tutorial Pt. 2 (Coding TensorFlow)06:03

Designing a neural network | Text Classification Tutorial Pt. 2 (Coding TensorFlow)


8
B1
Accelerate models with TFLite Delegates (TF Dev Summit '20)15:20

Accelerate models with TFLite Delegates (TF Dev Summit '20)


10
B2
Unlocking the power of ML for your JavaScript applications with TensorFlow.js (TF World '19)43:36

Unlocking the power of ML for your JavaScript applications with TensorFlow.js (TF World '19)


4
B1
Inside TensorFlow: Control Flow46:59

Inside TensorFlow: Control Flow


7
B1
Natural Language Processing - Tokenization (NLP Zero to Hero, part 1)04:39

Natural Language Processing - Tokenization (NLP Zero to Hero, part 1)


10
A2
Getting Started with Keras08:11

Getting Started with Keras


10
B1
TF Lite Lens (TF Dev Summit '20)07:44

TF Lite Lens (TF Dev Summit '20)


3
B1
What's new in TensorBoard (TF Dev Summit '19)07:43

What's new in TensorBoard (TF Dev Summit '19)


1
B1
In Codice Ratio: Machine Transcription in the Vatican Secret Archive (TF Dev Summit '19)11:22

In Codice Ratio: Machine Transcription in the Vatican Secret Archive (TF Dev Summit '19)


14
B1
Yoga Pose - Andy Ruestow & Bryan Donovan - JSConf US 201925:48

Yoga Pose - Andy Ruestow & Bryan Donovan - JSConf US 2019


6
B1
Construya una red neuronal para realizar la clasificación - Episodio 308:19

Construya una red neuronal para realizar la clasificación - Episodio 3


3
B2
Democratizing Ultrasound via ML (TF Dev Summit '19)05:15

Democratizing Ultrasound via ML (TF Dev Summit '19)


3
B2
Inside TensorFlow: tf.distribute.Strategy54:33

Inside TensorFlow: tf.distribute.Strategy


6
B1
Build a deep neural network in 4 mins with TensorFlow in Colab03:54

Build a deep neural network in 4 mins with TensorFlow in Colab


6
B1
Construa uma rede neural para executar a classificação (Coding TensorFlow em português)07:31

Construa uma rede neural para executar a classificação (Coding TensorFlow em português)


5
B2
How software engineers work in teams (UI Designers, Product Managers, software engineers, etc.,)08:38

How software engineers work in teams (UI Designers, Product Managers, software engineers, etc.,)


13
B1
Introduction - Deep Learning and Neural Networks with Python and Pytorch p.124:49

Introduction - Deep Learning and Neural Networks with Python and Pytorch p.1


10
B1
AI Pong - TensorFlow.js p.315:47

AI Pong - TensorFlow.js p.3


4
B1
How Engineers Are Beating Nature03:45

How Engineers Are Beating Nature


324
B1
Construire un classifieur d'images (Coding TensorFlow en français)05:42

Construire un classifieur d'images (Coding TensorFlow en français)


2
B1
MiniGo: TensorFlow Meets Andrew Jackson (TensorFlow Meets)10:24

MiniGo: TensorFlow Meets Andrew Jackson (TensorFlow Meets)


3
A2
Computer vision básica con ML (ML Zero to Hero, parte 2)06:20

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


7
B2
Style Transfer using Spell with Yining Shi86:41

Style Transfer using Spell with Yining Shi


7
A2
What junior engineers don't know10:04

What junior engineers don't know


8
A2
Basic Computer Vision with ML (ML Zero to Hero, part 2)07:24

Basic Computer Vision with ML (ML Zero to Hero, part 2)


1
A2
Prepare su conjunto de datos para el aprendizaje automático - Episodio 208:00

Prepare su conjunto de datos para el aprendizaje automático - Episodio 2


6
B2
Applied AI at The Coca-Cola Company (TensorFlow Dev Summit 2018)10:35

Applied AI at The Coca-Cola Company (TensorFlow Dev Summit 2018)


7
B1
Focus on your experiment with TensorFlow Estimators (TensorFlow Meets)08:11

Focus on your experiment with TensorFlow Estimators (TensorFlow Meets)


3
A2
TensorFlow.js (TensorFlow Meets)05:56

TensorFlow.js (TensorFlow Meets)


4
B1
7 Habits of Successful Software Engineers09:20

7 Habits of Successful Software Engineers


5
A2
7 Habits of Successful Software Engineers09:24

7 Habits of Successful Software Engineers


5
A2
Inside TensorFlow: tf.data - TF Input Pipeline53:52

Inside TensorFlow: tf.data - TF Input Pipeline


6
B2
The Future of JavaScript and AI by Asim Hussain | JSConf.Asia 201933:50

The Future of JavaScript and AI by Asim Hussain | JSConf.Asia 2019


2
B1
Oliver Zeigermann - Advanced UX with tensorflow.js | JSUnconf 201929:10

Oliver Zeigermann - Advanced UX with tensorflow.js | JSUnconf 2019


7
A2
Long Short-Term Memory for NLP (NLP Zero to Hero - Part 5)04:10

Long Short-Term Memory for NLP (NLP Zero to Hero - Part 5)


16
B1
Training Model - Halite II 2017 Artificial Intelligence Competition p.618:52

Training Model - Halite II 2017 Artificial Intelligence Competition p.6


2
A2
Why So Many CEOs Are Engineers05:52

Why So Many CEOs Are Engineers


42785
B1
Machine Learning: Google's Vision - Google I/O 201644:45

Machine Learning: Google's Vision - Google I/O 2016


411
A2
Training a model to recognize sentiment in text (NLP Zero to Hero, part 3)08:35

Training a model to recognize sentiment in text (NLP Zero to Hero, part 3)


7
B1
NMT Concepts and Parameters - Creating a Chatbot with Deep Learning, Python, and TensorFlow p.828:17

NMT Concepts and Parameters - Creating a Chatbot with Deep Learning, Python, and TensorFlow p.8


8
B1
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