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Machine/Deep Learning with TensorFlow (Python) Sung Kim <[email protected]> Basic

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Page 1: ML with Tensorflow - GitHub Pageshunkim.github.io/ml/lec0.pdf · Goals •Basic understanding of machine learning algorithms Linear regression, Logistic regression (classiﬁcation)-Neural

Machine/Deep Learning with TensorFlow (Python)

Sung Kim <[email protected]>

Basic

GPU Technology Conference 2015 - Dr. Andrew Ng

Page 4: ML with Tensorflow - GitHub Pageshunkim.github.io/ml/lec0.pdf · Goals •Basic understanding of machine learning algorithms Linear regression, Logistic regression (classiﬁcation)-Neural

Audience

• Want to understand basic machine learning (ML)

• No/weak math/computer science background

- y = Wx + b (y=ax+b)

• Want to use ML as black-box with basic understanding

• Want to use Tensorflow and Python (optional)

Goals

• Basic understanding of machine learning algorithms

- Linear regression, Logistic regression (classification)

- Neural networks, Convolutional Neural Network, Recurrent Neural Network

• Solve your problems using machine learning tools

- Tensorflow and Python

Page 6: ML with Tensorflow - GitHub Pageshunkim.github.io/ml/lec0.pdf · Goals •Basic understanding of machine learning algorithms Linear regression, Logistic regression (classiﬁcation)-Neural

Course structure

• About 10 min Lecture

• Programming tutorial using Tensorflow

Page 7: ML with Tensorflow - GitHub Pageshunkim.github.io/ml/lec0.pdf · Goals •Basic understanding of machine learning algorithms Linear regression, Logistic regression (classiﬁcation)-Neural

Page 8: ML with Tensorflow - GitHub Pageshunkim.github.io/ml/lec0.pdf · Goals •Basic understanding of machine learning algorithms Linear regression, Logistic regression (classiﬁcation)-Neural

Acknowledgement

• Andrew Ng’s ML class- https://class.coursera.org/ml-003/lecture

- http://www.holehouse.org/mlclass/ (note)

• Convolutional Neural Networks for Visual Recognition. - http://cs231n.github.io/

• TensorFlow- https://www.tensorflow.org- https://github.com/aymericdamien/TensorFlow-Examples

Page 9: ML with Tensorflow - GitHub Pageshunkim.github.io/ml/lec0.pdf · Goals •Basic understanding of machine learning algorithms Linear regression, Logistic regression (classiﬁcation)-Neural

Schedule

• Machine learning basic concepts

• Linear regression

• Logistic regression (classification)

• Multivariable (Vector) linear/logistic regression

• Neural networks

• Deep learning- CNN

- RNN- Bidirectional Neural networks

Page 10: ML with Tensorflow - GitHub Pageshunkim.github.io/ml/lec0.pdf · Goals •Basic understanding of machine learning algorithms Linear regression, Logistic regression (classiﬁcation)-Neural

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