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

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

410
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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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机器学习中的基本计算机视觉概念（机器学习从零到一第二集）08:00

机器学习中的基本计算机视觉概念（机器学习从零到一第二集）

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Основы Компьютерного Зрения с использованием Машинного Обучения (Машинное Обучение: часть 2)06:17

Основы Компьютерного Зрения с использованием Машинного Обучения (Машинное Обучение: часть 2)

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Deploying Model - Halite II 2017 Artificial Intelligence Competition p.718:23

Deploying Model - Halite II 2017 Artificial Intelligence Competition p.7

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Deep learning for fundamental sciences using high-performance computing (O’Reilly AI Conference)26:36

Deep learning for fundamental sciences using high-performance computing (O’Reilly AI Conference)

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7.11: TensorFlow.js Color Classifier: Animating Loss12:41

7.11: TensorFlow.js Color Classifier: Animating Loss

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Keeping Iowa roads safe with AI01:59

Keeping Iowa roads safe with AI

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AI News | October 2017 | Intel Software02:23

AI News | October 2017 | Intel Software

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Anne’s Story: From student to planet hunter02:59

Anne’s Story: From student to planet hunter

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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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Ideas to Reality: Portal Telemedicina, technology helping rural patients get crucial medical care02:59

Ideas to Reality: Portal Telemedicina, technology helping rural patients get crucial medical care

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Training Model - Deep Learning in Halite AI competition p.538:22

Training Model - Deep Learning in Halite AI competition p.5

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How to Become a Business Intelligence Analyst in 202008:44

How to Become a Business Intelligence Analyst in 2020

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머신러닝 기반의 기본적인 컴퓨터 비전 (ML Zero to Hero 2부)08:42

머신러닝 기반의 기본적인 컴퓨터 비전 (ML Zero to Hero 2부)

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Federated Learning: Machine Learning on Decentralized Data (Google I/O'19)41:11

Federated Learning: Machine Learning on Decentralized Data (Google I/O'19)

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Ideas to Reality: Gringgo Trash Tech03:30

Ideas to Reality: Gringgo Trash Tech

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Generative Model Basics - Unconventional Neural Networks p.114:12

Generative Model Basics - Unconventional Neural Networks p.1

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ML solutions for Live Perception (TF Dev Summit '20)16:40

ML solutions for Live Perception (TF Dev Summit '20)

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Top 3 Programming Languages For Data Science09:05

Top 3 Programming Languages For Data Science

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Machine Learning for Front-End Developers by Charlie Gerard | JSConf.Asia 201934:05

Machine Learning for Front-End Developers by Charlie Gerard | JSConf.Asia 2019

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Transformers, explained: Understand the model behind GPT, BERT, and T509:11

Transformers, explained: Understand the model behind GPT, BERT, and T5

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How to architect a collaborative big data platform (Google Cloud Next '17)33:12

How to architect a collaborative big data platform (Google Cloud Next '17)

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Let’s Write a Pipeline - Machine Learning Recipes #407:54

Let’s Write a Pipeline - Machine Learning Recipes #4

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Jacquard: Embedding ML seamlessly into everyday objects (TF Dev Summit '20)10:15

Jacquard: Embedding ML seamlessly into everyday objects (TF Dev Summit '20)

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Stack Overflow Developer Survey Results (2018) - My Take13:19

Stack Overflow Developer Survey Results (2018) - My Take

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Writing Our First Classifier - Machine Learning Recipes #508:44

Writing Our First Classifier - Machine Learning Recipes #5

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Live Stream #164: Live from Le Tank Paris128:18

Live Stream #164: Live from Le Tank Paris

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Using Machine Learning to Improve UI/UX - Milecia McGregor | JSConf Hawaii 202021:59

Using Machine Learning to Improve UI/UX - Milecia McGregor | JSConf Hawaii 2020

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Machine Learning Magic for Your JavaScript Application (Google I/O'19)39:02

Machine Learning Magic for Your JavaScript Application (Google I/O'19)

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Running our Reinforcement Learning Agent - Self-driving cars with Carla and Python p.539:36

Running our Reinforcement Learning Agent - Self-driving cars with Carla and Python p.5

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Machine Learning for Game Developers (Google I/O'19)32:20

Machine Learning for Game Developers (Google I/O'19)

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365 Data Science Online Program04:41

365 Data Science Online Program

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Neural Structured Learning - Part 3: Training with synthesized graphs05:16

Neural Structured Learning - Part 3: Training with synthesized graphs

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Android deployment - Kivy Mobile and Desktop App Dev w/ Python12:35

Android deployment - Kivy Mobile and Desktop App Dev w/ Python

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Neural Networks from Scratch announcement11:35

Neural Networks from Scratch announcement

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Running with Trained Model - Deep Learning in Halite AI competition p.623:01

Running with Trained Model - Deep Learning in Halite AI competition p.6

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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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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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Neural Networks - Lecture 5 - CS50's Introduction to Artificial Intelligence with Python 2020101:20

Neural Networks - Lecture 5 - CS50's Introduction to Artificial Intelligence with Python 2020

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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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Checking out Data - Deep Learning in Halite AI competition p.425:04

Checking out Data - Deep Learning in Halite AI competition p.4

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Deep Dream - Unconventional Neural Networks p.712:48

Deep Dream - Unconventional Neural Networks p.7

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Reynold Xin | Spark Summit 201715:03

Reynold Xin | Spark Summit 2017

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Deep Q Learning w/ DQN - Reinforcement Learning p.532:19

Deep Q Learning w/ DQN - Reinforcement Learning p.5

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构件一个图像分类器（机器学习从零到一第四集）07:06

构件一个图像分类器（机器学习从零到一第四集）

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