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Title: GitHub - Chihyulai/DeepLearningwithPython: Machine Learning and Data Science study group starting Sep'2018 · GitHub

Open Graph Title: GitHub - Chihyulai/DeepLearningwithPython: Machine Learning and Data Science study group starting Sep'2018

X Title: GitHub - Chihyulai/DeepLearningwithPython: Machine Learning and Data Science study group starting Sep'2018

Description: Machine Learning and Data Science study group starting Sep'2018 - Chihyulai/DeepLearningwithPython

Open Graph Description: Machine Learning and Data Science study group starting Sep'2018 - Chihyulai/DeepLearningwithPython

X Description: Machine Learning and Data Science study group starting Sep'2018 - Chihyulai/DeepLearningwithPython

Opengraph URL: https://github.com/Chihyulai/DeepLearningwithPython

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READMEhttps://github.com/Chihyulai/DeepLearningwithPython
https://github.com/Chihyulai/DeepLearningwithPython#machine-learning-study-group-deep-learning-with-python
https://github.com/Chihyulai/DeepLearningwithPython#目的
https://github.com/Chihyulai/DeepLearningwithPython#方法
https://github.com/Chihyulai/DeepLearningwithPython#deep-learning-with-python-讀書會
認識HPX讀書會https://hpx.tw/archives/18982
Deep Learning with Pythonhttps://www.manning.com/books/deep-learning-with-python
Github: fchollet/deep-learning-with-python-notebookshttps://github.com/fchollet/deep-learning-with-python-notebooks
第一週https://github.com/WomenWhoCodeTaipei/DeepLearningwithPython/tree/master/Session%231
What is deep learninghttps://ppt.cc/fflBlx
在 Google Colab 使用 Kerashttps://lihi.cc/iaAoO
Fast Track your Career in Data Sciencehttps://github.com/WomenWhoCodeTaipei/DeepLearningwithPython/blob/master/Session%231/Data-sciencist-at-SF-Bay-area.pdf
Before we begin: the mathematical building blocks of neural networkshttps://lihi.cc/UUnLP
Getting started with neural networkshttps://lihi.cc/eaHoT
But what is a Neural Network? | Deep learning, chapter 1https://youtu.be/aircAruvnKk
How Deep Learning Neural Network Workshttps://www.youtube.com/watch?v=ILsA4nyG7I0&feature=youtu.be&t=852
Fundamentals of machine learninghttp://bit.ly/deep_learning_with_python_ch4
Deep learning for computer visionhttps://drive.google.com/file/d/1oZsvDgy73Gd4jjG9UqwE2kwWhgjjebNv/view?fbclid=IwAR2AqvFtM_Q5dUDJmz9J6Q2kqGUTUHAVah84NLcB-jbhl_LCf7atkfV8jlQ
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import AI*https://docs.google.com/presentation/d/1uf7j-Fs0OD2gfqzJC35prFoHozv_9IBWV5azjcuLjqE/edit?fbclid=IwAR2yfW0C4m7PL8-7F1AWNCCZsEdp8rnNLRO4ETSvFimTGYavecqyCXcrMHk#slide=id.g44ca355d22_0_0
Deep learning for text and sequenceshttps://docs.google.com/presentation/d/1-b9TFwkdiVLC3WdV1uAaXQP1d2I9dRJM8zfNx6uwEIE/edit?fbclid=IwAR1NYM_7OK7iROxFoJ_AfR_1d3Rvrh5vxhZ99_XRBRUQmRObbX3CUgtzd_g#slide=id.g456bf0dcf7_6_431
最後Hsin-Wei分享的display_closestwords_tsnescatterplot.ipynbhttps://l.facebook.com/l.php?u=https%3A%2F%2Fgist.github.com%2Faneesha%2Fda9216fb8d84245f7af6edaa14f4efa9%3Ffbclid%3DIwAR3X7BhnZZ2v3h_gIlFiajReJlutDcWS_n3e-p9MQqtufc1bUnCBoplJCnQ%23file-display_closestwords_tsnescatterplot-ipynb&h=AT1iOcQqYCJfrWmklJyraOG8e-3Vt2wjMNhOjfs5VdiKqx3CTfqnOsDsZAREBWZdqUhGExoP2T9x4Bgo7O59j6-vJJvq7BVQi225WrzDym02O04ZKquUZQjodPUT_LbhkXLMO-Xf
Deep learning for text and sequences Practicehttps://docs.google.com/presentation/d/17EImL6qEwrJRz30315POVEPHi7mcnVhTOi4QwiSuST8/edit?fbclid=IwAR1MCdSX58RK9UOl5zSh5rfJ4Cxnh6_QOFy0VovBM6hqa6DEX4MKhf8tVSI#slide=id.p
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Advanced deep-learning best practiceshttps://docs.google.com/presentation/d/1ukpQ_zBVqMQz1RosLuPbCLkrOqD5O_oQpV4u8wlo6Cc/edit?fbclid=IwAR2A8mBTAyup7j8Qb1PqvS6IC4Y_nRks0kRjQ57rdBcHz6dXcBns6OnqBTw#slide=id.g35f391192_00
Advanced deep-learning best practiceshttps://docs.google.com/presentation/d/1ukpQ_zBVqMQz1RosLuPbCLkrOqD5O_oQpV4u8wlo6Cc/edit?fbclid=IwAR2A8mBTAyup7j8Qb1PqvS6IC4Y_nRks0kRjQ57rdBcHz6dXcBns6OnqBTw#slide=id.g35f391192_00
Generative deep learninghttps://docs.google.com/presentation/d/1eukZLgAZTpLZSi-R-GfTOop1dEOykgf8kuQg5Mn1u50/edit?fbclid=IwAR2ahorQfwtpNLlrMs0JhVKDTkAQt8_hNkdAqL6ntFO3Dy0mQHIwy8iUN50#slide=id.g46410a78bf_0_0
Conclusionshttps://docs.google.com/presentation/d/1uBFRrLoyh1C1drMpd3KcNj9JqDbZZHK91TGbvzPHylI/edit?fbclid=IwAR2EHyOVqrU5UGTspjfPR29ki5VGXiM4M9E351FycpA2f03YQwpqUJ2xUhM#slide=id.g4a3f5b514e_0_0
Singularityhttps://drive.google.com/drive/folders/1CDdgA4L5qxwEDOmdiqB7_aiVUTE6yLmI?usp=sharing
https://github.com/Chihyulai/DeepLearningwithPython#課程時間與地點
https://github.com/Chihyulai/DeepLearningwithPython#資訊與工具
Women Who Code Taipeihttps://www.meetup.com/Women-Who-Code-Taipei/
Machine Learning Study Group : Deep Learning with Pythonhttps://www.facebook.com/events/1901939603261051/
Women Who Code Taipeihttps://www.facebook.com/wwcodetaipei/
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Slackhttps://goo.gl/forms/7hFI7tEf6Z4exCT82
https://github.com/Chihyulai/DeepLearningwithPython#學習資源
womenwhocode的學習資源https://www.womenwhocode.com/resources
李宏毅老師的youtube頻道https://www.youtube.com/channel/UC2ggjtuuWvxrHHHiaDH1dlQ/playlists
林軒田老師的機器學習基石(上)-數學基礎https://www.coursera.org/learn/ntumlone-mathematicalfoundations
林軒田老師的機器學習基石(下)-演算法基礎https://www.coursera.org/learn/ntumlone-algorithmicfoundations
成為python數據分析達人的第一課http://moocs.nccu.edu.tw/course/123/section/lecture
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Coding & Co-working Clubhttps://medium.com/ccclub
Google機器學習資源1:Prerequisites and Preworkhttps://developers.google.com/machine-learning/crash-course/prereqs-and-prework?fbclid=IwAR0UUErHm9a1BmT2X8MKoiV0P8eVdfIomiN-Oq7W-ZazWAMzwHsjMjbS0is
Google機器學習資源2:Machine Learning Crash Coursehttps://developers.google.com/machine-learning/crash-course/?utm_source=DevRel&utm_medium=StudyJam&utm_campaign=q1y2018&utm_term&utm_content=mlcc&fbclid=IwAR2EypJlNex4cxn_uL8QwRbK2GVS2PNrRQGYWv9L54IQLqkx83QSs39xT_k
Google機器學習資源3:Path of Machine Learninghttps://techdevguide.withgoogle.com/paths/machine-learning/
AI School: ML Crash Coursehttps://aischool.microsoft.com/en-us/machine-learning/learning-paths/ml-crash-course
deep-learning-v2-pytorchhttps://github.com/udacity/deep-learning-v2-pytorch
吳恩達老師的 Deep Learning系列課程https://www.deeplearning.ai/
練好機器學習的基本功https://www.books.com.tw/products/0010797283
Readme https://github.com/Chihyulai/DeepLearningwithPython#readme-ov-file
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