過去動画 2 ページ目
2 : What are Recurrent Neural Networks(RNN)? - Introduction to Deep Learning
3 : NNC Tutorial : How to create dataset for image classification
4 : NNC Tutorial : How to call generated classifier from Python
5 : 今すぐ先端AIを積極活用するべき理由
6 : 今すぐ先端AIを積極活用するべき理由
7 : Attention Mechanism - Introduction to Deep Learning
8 : Why We Should Work on Deep Learning Now? - Introduction to Deep Learning
9 : Understanding LSTM without Mathematical Expressions - Introduction to Deep Learning
10 : NNC Tutorial : Neural Network Console for Beginners - From setup to executing sample project (Win)
11 : Basics of Designing Neural Network - Introduction to Deep Learning
12 : The Mechanism of Neural Network Training - Introduction to Deep Learning
13 : What is Deep Learning? - Introduction to Deep Learning
14 : Downsizing Neural Networks by Quantization - Introduction to Deep Learning
15 : What are Generative Adversarial Networks (GANs)? - Introduction to Deep Learning
16 : Multilayer Techniques for Neural Network - Introduction to Deep Learning
17 : Transfer Learning in Deep Learning - Introduction to Deep Learning
18 : Guidelines to Determine the Number of Layers and Neurons - Introduction to Deep Learning
19 : What can you do with Deep Learning? - Introduction to Deep Learning
20 : NNC Tutorial : 5-minute design for Convolutional Neural Networks(CNN)
21 : What are Recurrent Neural Networks(RNN)? - Introduction to Deep Learning
22 : NNC Tutorial : How to create dataset for image classification
評価が高い動画
1 : 2020年、Deep Learningをはじめましょう！
2 : Deep Learning入門：ニューラルネットワーク設計の基礎
3 : Deep Learning入門：ニューラルネットワーク学習の仕組み
4 : Deep Learning入門：Attention（注意）
5 : Deep Learning入門：Deep Learningとは？
6 : Deep Learning入門：今Deep Learningに取り組むべき理由
7 : Deep Learning入門：数式なしで理解するLSTM (Long short-term memory)
8 : Deep Learning入門：Generative Adversarial Networks (GAN)とは？
9 : Deep Learning入門：マルチタスク学習
