ディープラーニング系のhello、worldといってもいいほどの必須講義です！

daehynk3548

より多くの方々がマシンランニングとディープラーニングについてより理解し、本人の問題をこの素敵なツールを利用して解くことができるようにビデオ講義を準備しました。ソースであるTensorFlowを利用して理論を実装できるようにしました。

hunkim3879

皆のためのディープラーニング - 基本的な機械学習とディープラーニングコース

We have prepared video lectures so that more people can understand machine learning and deep learning and solve their own problems using these great tools. Furthermore, we have not only covered the theory, but also implemented the theory using TensorFlow, an open source for machine learning recently released by Google.

Sung Kim

입문

초급

중급이상

Deep Learning(DL)

Reinforcement Learning(RL)

Deep Learning for Everyone - Basic Machine Learning and Deep Learning Course

Orientation

Machine Learning Concepts and Terminology

Concept of Linear Regression

Minimize the Linear Regression cost function

Linear Regression of Multiple Inputs (Features)

Logistic (Regression) Classification

Softmax Regression (Multinomial Logistic Regression)

ML in action and some tips

Basic concepts, problems, and solutions of deep learning

Neural Network 1: XOR problem and learning method, Backpropagation

Neural Network 2: ReLU and Initialization (2006/2007 breakthrough)

Convolutional Neural Networks

Recurrent Neural Network

Deep Deep Network Running with GPU on AWS (powered bt AWS)

Use Spot Instances in AWS at low cost without worrying about termination

Running TensorFlow with Google Cloud ML