안녕하세요. 2017 인공지능 B팀 여러분!

7월 8일 9주차 스터디는 지난 스터디 시간에 협의한 장소에서 진행 할 예정입니다.

지난 스터디에 참석하지 못한 분들 중 이번 주 스터디에 참석을 희망하시는 분은

아래에 댓글로 남겨 주시기 바랍니다.

장소  및 스터디 관련 의견사항이 있을 경우 댓글로 남겨주시면 감사하겠습니다.

주제:  모두를 위한 머신러닝과 딥러닝의 강의​

         - 시즌 1 - 딥러닝의 기본 (TF 1.0 lab 업데이트중) 비디오 리스트

            --  [  ML lab10: NN, ReLu, Xavier, Dropout, and Adam ] 부터 

일시: 

         - 7월 08일(토요일)

         - 오전 9시 ~ 오후 1시

예제코드:

- lab-10-1-mnist_softmax

- lab-10-2-mnist_nn

- lab-10-3-mnist_nn_xavier

- lab-10-4-mnist_nn_deep

- lab-10-5-mnist_nn_dropout

- lab-10-6-mnist_nn_batchnorm

- lab-11-1-mnist_cnn

- lab-11-2-mnist_deep_cnn

- lab-11-4-mnist_cnn_layers

- lab-11-5-mnist_cnn_ensemble_layers

추천도서:

밑바닥부터 시작하는 딥러닝 - 파이썬으로 익히는 딥러닝 이론과 구현  사이토 고키 (지은이) | 개앞맵시 (옮긴이) | 한빛미디어 | 2017-01-03 | 원제 ゼロから作るDeep Learning (2016년)

관련논문(CNN) & Post:

- Convolutional neural networks, Part 1(Post)

-- ImageNet classification with deep convolutional neural networks, Krizhevsky et al., 2012

-- Maxout networks, Goodfellow et al., 2013

-- Network in network, Lin et al., 2013

-- OverFeat: Integration recognition, localization and detection using convolutional networks, Sermanent et al., 2013

-- Identity Mappings in Deep Residual Networks (2016), K. He et al. 

-- Deep residual learning for image recognition (2016), K. He et al.

-- Rethinking the inception architecture for computer vision (2016), C. Szegedy et al.

- An Intuitive Explanation of Convolutional Neural Networks(post) | Posted on August 11, 2016 by ujjwalkarn

기타: 

- Tensorflow Tutorials using Jupyter Notebook | GitHub

-- TensorFlow Tutorial and Examples for beginners | GitHub , tensorflow.org

-- Simple tutorials using Google's TensorFlow Framework | GitHub

- CS 20SI: Tensorflow for Deep Learning Research

-- CS 20SI: Tensorflow for Deep Learning Research | YouTube

- TensorFlow Tutorial | YouTube

-- TensorFlow Tutorials | GitHub 

- UVA DEEP LEARNING COURSE​

-- Lecture 4 : Convolutional Neural Networks for Computer Vision

- Convolutional Networks | Deep Learning Summer School, Montreal 2015 

- CS231n: Convolutional Neural Networks for Visual Recognition(Winter 2016)

-- CS231n Winter 2016 | YouTube

--- CS231n Winter 2016: Lecture 5: Neural Networks Part 2

--- CS231n Winter 2016: Lecture 6: Neural Networks Part 3 / Intro to ConvNets

--- CS231n Winter 2016: Lecture 7: Convolutional Neural Networks

-- Schedule and Syllabus(Winter 2016)

- CS224n: Natural Language Processing with Deep Learning​

-- Lecture Collection | Natural Language Processing with Deep Learning (Winter 2017) | YouTube

--- Lecture 13: Convolutional Neural Networks

-- Schedule and Syllabus

- MIT 6.S094: Deep Learning for Self-Driving Cars | MIT

-- MIT 6.S094: Convolutional Neural Networks for End to End Learning of the Driving Task | YouTube

- Machine Learning | Coursera -  Andrew Ng 

-- Machine Learning(CS229) | YouTube — Andrew Ng, Stanford University [FULL COURSE]

-- Machine Learning​(Coursera Contents) | YouTube — Andrew Ng, Stanford University

-- Lecture Notes | Coursera

-- CS 229 Machine Learning Course Materials

-- Stanford Machine Learning

- Neural Networks for Machine Learning | Coursera -   Prof. Geoffrey Hinton on Coursera in 2013

-- Neural Networks for Machine Learning | YouTube -  Prof. Geoffrey Hinton on Coursera in 2012

-- CSC321 Winter 2014 - Lecture notes

- TensorBoard: Visualizing Learning

- Deep Learning and AI | Nahua Kang blog

-- Introducing Deep Learning and Neural Networks — Deep Learning for Rookies (1)

-- Multi-Layer Neural Networks with Sigmoid Function— Deep Learning for Rookies (2)

- Learn TensorFlow and deep learning, without a Ph.D.

-- TensorFlow and Deep Learning without a PhD, Part 1 (Google Cloud Next '17)

-- TensorFlow and Deep Learning without a PhD, Part 2 (Google Cloud Next '17)

- Deep Learning Summer School, Montreal 2016 

-- Neural Networks - part - I & II -Hugo Larochelle

--- slide

- Deep Learning Book Review | YouTube

-- Deep Learning_An MIT Press book - Ian Goodfellow and Yoshua Bengio and Aaron Courville

-- Chapter 9 : Convolutional Networks

-- DeepLearningBook 

- TensorFlow repository

-- tensorflow/tensorflow/examples/tutorials/mnist/

- TensorFlow 한글 문서

- First Contact with TensorFlow(원서_번역내용) | 텐서플로우 블로그 (Tensor ≈ Blog) 

-- Natural Language Processing with Deep Learning (Winter 2017) | YouTube

- Machine Learning 강의노트