よく話題になっている単語
動画数:100件
What is Deep Learning? - Introduction to Deep Learning
This video shows briefly explanation of the basics of Deep Learning while following the history of neural networks.
Next : What can you do with Deep Learning ?
https://www.youtube.com/watch?v=YEaPRiNNJGg
Previous : Why We Should Work on Deep Learning Now?
https://www.youtube.com/watch?v=7iir0K02JDw
Neural Network Console Youtube Channel
https://www.youtube.com/c/NeuralNetworkConsole
Playlist : Introduction to Deep Learning
https://www.youtube.com/playlist?list=PLg1wtJlhfh23KxT90XrswtrBhBtP_rc53
Neural Network Console
https://dl.sony.com/
Neural Network Libraries
https://nnabla.org/
**NOTE**
This contents has been translated from Japanese into English.
The original has been published on November 8, 2018.
#Deep Learning #Neural Network #Neural Network Console #Neural Network Libraries #Sony #AI #深層学習 #ディープラーニング #ニュールネットワーク #ソニー #人工知能
2022年09月12日
00:00:00 - 00:12:23
Downsizing Neural Networks by Quantization - Introduction to Deep Learning
This video explains the quantization that realizes speeding up and memory saving by replacing the operations of the neural network mainly on floating point operations with integer operations.
Next : Attention Mechanism
https://www.youtube.com/watch?v=aQQa_xl78Qw
Previous :Transfer Learning in Deep Learning
https://www.youtube.com/watch?v=pFQ2qVqsLvg
The Mechanism of Neural Network Training
https://www.youtube.com/watch?v=XeieQQ-LPTQ
Neural Network Console Youtube Channel
https://www.youtube.com/c/NeuralNetworkConsole
Playlist : Introduction to Deep Learning
https://www.youtube.com/playlist?list=PLg1wtJlhfh23KxT90XrswtrBhBtP_rc53
Neural Network Console
https://dl.sony.com/
Neural Network Libraries
https://nnabla.org/
**NOTE**
This contents has been translated from Japanese into English.
The original has been published on July 18, 2019.
https://youtu.be/unE_hofrYrk
#Deep Learning #Neural Network #Neural Network Console #Neural Network Libraries #Sony #AI #深層学習 #ディープラーニング #ニュールネットワーク #ソニー #人工知能
2022年09月12日
00:00:00 - 00:10:07
Basics of Designing Neural Network - Introduction to Deep Learning
This video explains the basics of designing neural networks.
It also explains the basic functions that make up the neural network such as Affine, Convolution, Activation function, Pooling and Loss functions.
Next : Guidelines to Determine the Number of Layers and Neurons
https://www.youtube.com/watch?v=yLev2zNxC0M
Previous : What can you do with Deep Learning?
https://www.youtube.com/watch?v=YEaPRiNNJGg
What is Deep Learning ?
https://www.youtube.com/watch?v=vIr-a5lT_U4
Neural Network Console Youtube Channel
https://www.youtube.com/c/NeuralNetworkConsole
Playlist : Introduction to Deep Learning
https://www.youtube.com/playlist?list=PLg1wtJlhfh23KxT90XrswtrBhBtP_rc53
Neural Network Console
https://dl.sony.com/
Neural Network Libraries
https://nnabla.org/
**NOTE**
This contents has been translated from Japanese into English.
The original has been published on February 26, 2019.
https://youtu.be/O3qm6qZooP0
#Deep Learning #Neural Network #Neural Network Console #Neural Network Libraries #Sony #AI #深層学習 #ディープラーニング #ニュールネットワーク #ソニー #人工知能
2022年09月12日
00:00:00 - 00:24:33
Attention Mechanism - Introduction to Deep Learning
This video explains the basic structure of the neural network, Attention.
It has recently been very popularly used in Deep Learning alongside Convolutional Neural Networks.
Previous : Downsizing Neural Networks by Quantization
https://www.youtube.com/watch?v=tFmQj7W4qlk
Basics of Designing Neural Network
https://www.youtube.com/watch?v=lp4skE5U8Cs
The Mechanism of Neural Network Training
https://www.youtube.com/watch?v=XeieQQ-LPTQ
What are Recurrent Neural Networks?(RNN)
https://www.youtube.com/watch?v=nzwLW6zsJoU
Understanding LSTM without Mathematical Expressions (Long Short-Term Memory)
https://www.youtube.com/watch?v=GKCTlXm8S5o
Neural Network Console Youtube Channel
https://www.youtube.com/c/NeuralNetworkConsole
Playlist : Introduction to Deep Learning
https://www.youtube.com/playlist?list=PLg1wtJlhfh23KxT90XrswtrBhBtP_rc53
Neural Network Console
https://dl.sony.com/
Neural Network Libraries
https://nnabla.org/
Squeeze-and-Excitation Networks
Jie Hu, Li Shen, Samuel Albanie, Gang Sun, Enhua Wu
https://arxiv.org/abs/1709.01507
Attention Is All You Need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, Illia Polosukhin
https://arxiv.org/abs/1706.03762
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, Kristina Toutanova
https://arxiv.org/abs/1810.04805
**NOTE**
This contents has been translated from Japanese into English.
The original has been published on January 23, 2020.
https://youtu.be/g5DSLeJozdw
#Deep Learning #Neural Network #Neural Network Console #Neural Network Libraries #Sony #AI #深層学習 #ディープラーニング #ニュールネットワーク #ソニー #人工知能
2022年09月12日
00:00:00 - 00:20:21
The Mechanism of Neural Network Training - Introduction to Deep Learning
This video explains how to stably learn neural networks with more than tens of layers.
Next : What are Recurrent Neural Networks(RNN)?
https://www.youtube.com/watch?v=nzwLW6zsJoU
Previous : Multilayer Techniques for Neural Network
https://www.youtube.com/watch?v=v-9nIPNwABA
What is Deep Learning?
https://www.youtube.com/watch?v=vIr-a5lT_U4
Neural Network Console Youtube Channel
https://www.youtube.com/c/NeuralNetworkConsole
Playlist : Introduction to Deep Learning
https://www.youtube.com/playlist?list=PLg1wtJlhfh23KxT90XrswtrBhBtP_rc53
Neural Network Console
https://dl.sony.com/
Neural Network Libraries
https://nnabla.org/
**NOTE**
This contents has been translated from Japanese into English.
The original has been published on April 26, 2019.
https://youtu.be/r8bbe273vEs
#Deep Learning #Neural Network #Neural Network Console #Neural Network Libraries #Sony #AI #深層学習 #ディープラーニング #ニュールネットワーク #ソニー #人工知能
2022年09月12日
00:00:00 - 00:18:01
Understanding LSTM without Mathematical Expressions - Introduction to Deep Learning
This video explains LSTM (Long Short-Term Memory) which is the most popular configuration of Recurrent Neural Networks (RNN).
Next : Transfer Learning in Deep Learning
https://www.youtube.com/watch?v=pFQ2qVqsLvg
Previous : What are Generative Adversarial Networks (GANs)?
https://www.youtube.com/watch?v=hmeFvXxd3sI
What are Recurrent Neural Networks(RNN)?
https://www.youtube.com/watch?v=nzwLW6zsJoU
The Mechanism of Neural Network Training
https://www.youtube.com/watch?v=XeieQQ-LPTQ
Multilayer Techniques for Neural Network
https://www.youtube.com/watch?v=v-9nIPNwABA
Sample project: Elman-net
#Neural Network Console Cloud version login required.
https://dl.sony.com/console/#/project?project_id=15
Sample project: LSTM
#Neural Network Console Cloud version login required.
https://dl.sony.com/console/#/project?project_id=19
Neural Network Console Youtube Channel
https://www.youtube.com/c/NeuralNetworkConsole
Playlist : Introduction to Deep Learning
https://www.youtube.com/playlist?list=PLg1wtJlhfh23KxT90XrswtrBhBtP_rc53
Neural Network Console
https://dl.sony.com/
Neural Network Libraries
https://nnabla.org/
**NOTE**
This contents has been translated from Japanese into English.
The original has been published on December 25, 2019.
https://youtu.be/qpd9I8m1bOA
#Deep Learning #Neural Network #Neural Network Console #Neural Network Libraries #Sony #AI #深層学習 #ディープラーニング #ニュールネットワーク #ソニー #人工知能
2022年09月12日
00:00:00 - 00:14:09
Why We Should Work on Deep Learning Now? - Introduction to Deep Learning
This video explains why Deep Learning is currently in the spotlight and why you should work on it as soon as possible.
Next : What is Deep Learning?
https://www.youtube.com/watch?v=vIr-a5lT_U4
Neural Network Console Youtube Channel
https://www.youtube.com/c/NeuralNetworkConsole
Playlist : Introduction to Deep Learning
https://www.youtube.com/playlist?list=PLg1wtJlhfh23KxT90XrswtrBhBtP_rc53
Neural Network Console
https://dl.sony.com/
Neural Network Libraries
https://nnabla.org/
**NOTE**
This contents has been translated from Japanese into English.
The original has been published on November 8, 2018.
https://youtu.be/-Dl8s4iufxI
#Deep Learning #Neural Network #Neural Network Console #Neural Network Libraries #Sony #AI #深層学習 #ディープラーニング #ニュールネットワーク #ソニー #人工知能
2022年09月12日
00:00:00 - 00:12:03
NNC Tutorial : Neural Network Console for Beginners - From setup to executing sample project (Win)
This video explains from setting up to running a sample project using Neural Network Console for Windows which is an integrated development environment of Deep Learning.
Next: Easy! Creating an Image Classification Project (for Windows)
https://www.youtube.com/watch?v=zjlYu7Ztxfs
What is Deep Learning ? - Introduction to Deep Learning
https://www.youtube.com/watch?v=vIr-a5lT_U4
Basics of Designing Neural Network - Introduction to Deep Learning
https://www.youtube.com/watch?v=lp4skE5U8Cs
Feature of Neural Network Console ( Japanese Only )
https://www.youtube.com/watch?v=y_KGyxAwAic
Playlist : Neural Network Console Tutorial
https://www.youtube.com/playlist?list=PLg1wtJlhfh20w0DJf0ldV4ww0fE0w9y2A
Playlist : Introduction to Deep Learning
https://www.youtube.com/playlist?list=PLg1wtJlhfh23KxT90XrswtrBhBtP_rc53
Neural Network Console Youtube Channel
https://www.youtube.com/c/NeuralNetworkConsole
Neural Network Console
https://dl.sony.com/
Neural Network Libraries
https://nnabla.org/
**NOTE**
This contents has been translated from Japanese into English.
The original has been published on February 6, 2019.
https://youtu.be/QKpWPucmsmU
#Deep Learning #Neural Network #Neural Network Console #Neural Network Libraries #Sony #AI #深層学習 #ディープラーニング #ニュールネットワーク #ソニー #人工知能
2022年09月12日
00:00:00 - 00:08:37
NNCチュートリアル:画像信号処理(超解像)
この動画では、Deep Learningの統合開発環境Neural Network Consoleを用いて、入力画像を高解像度化する画像信号処理モデルを学習する手順について解説します。
Flower food SR dataset(動画内で用いたデータセットのダウンロードはこちらから)
https://support.dl.sony.com/blogs-ja/dataset/flower-food-sr-dataset/
Neural Network Console Plugins (プラグインのダウンロードはこちらから)
https://github.com/sony/nnc-plugin
前回の動画:構造化データの分類・回帰
https://www.youtube.com/watch?v=ViSIaGlg_DU
Deep Learningで行う信号処理(フィルタリング)
https://www.youtube.com/watch?v=UaYeTmWI6_Y
再生リスト「Deep Learning入門」
https://www.youtube.com/playlist?list=PLg1wtJlhfh23pjdFv4p8kOBYyTRvzseZ3
再生リスト「Neural Network Console チュートリアル(クラウド版)」
https://www.youtube.com/playlist?list=PLg1wtJlhfh227oiXbVJOwXCuCoKo3dOU9
再生リスト「Neural Network Console チュートリアル(Windows版)」
https://www.youtube.com/playlist?list=PLg1wtJlhfh20mWfEbfng2ug-bfE437lDW
Neural Network Consoleの特長
https://www.youtube.com/watch?v=y_KGyxAwAic
Neural Network Console
https://dl.sony.com/ja/
Neural Network Libraries
https://nnabla.org/ja/
#Deep Learning #Neural Network #Neural Network Console #Neural Network Libraries #Sony #AI #深層学習 #ディープラーニング #ニュールネットワーク #ソニー #人工知能
2021年12月21日
00:00:00 - 00:13:53
【2021/11】Neural Network Console Windows版 最新情報
今年オープンソースとして新しく公開になったプラグインの紹介を含む、Neural Network Console Windows版の2021年11月時点の最新情報についてお話ししています。
関連動画
【説明可能なAI】説明可能なAIを使ってみよう
https://www.youtube.com/watch?v=OuD7jOtVFxY
NNCチュートリアル:構造化データの分類・回帰
https://www.youtube.com/watch?v=ViSIaGlg_DU
NNCチュートリアル:文章分類
https://www.youtube.com/watch?v=40Qb32joXNY
NNCチュートリアル:物体検出
https://www.youtube.com/watch?v=rlMPii_HyJ4
NNablaディープラーニングYouTubeチャンネル開設のお知らせ
https://www.youtube.com/watch?v=pSive5_gb5w
NNCチュートリアル:ユニット機能を用いて複雑なネットワークを簡潔に記述
https://www.youtube.com/watch?v=5aLGE8zKlro
関連リンク
チュートリアル:Neural Network Console用プラグインの開発方法
https://support.dl.sony.com/docs-ja/how_to_develop_a_plugin
nnablaディープラーニングチャンネル
https://www.youtube.com/c/nnabla
再生リスト「Deep Learning入門」
https://www.youtube.com/playlist?list=PLg1wtJlhfh23pjdFv4p8kOBYyTRvzseZ3
再生リスト「Neural Network Console チュートリアル(クラウド版)」
https://www.youtube.com/playlist?list=PLg1wtJlhfh227oiXbVJOwXCuCoKo3dOU9
再生リスト「Neural Network Console チュートリアル(Windows版)」
https://www.youtube.com/playlist?list=PLg1wtJlhfh20mWfEbfng2ug-bfE437lDW
Neural Network Consoleの特長
https://www.youtube.com/watch?v=y_KGyxAwAic
Neural Network Console
https://dl.sony.com/ja/
Neural Network Libraries
https://nnabla.org/ja/
#Deep Learning #Neural Network #Neural Network Console #Neural Network Libraries #Sony #AI #深層学習 #ディープラーニング #ニュールネットワーク #ソニー #人工知能
2021年11月26日
00:00:00 - 00:08:52