Be the only one, not the best one

The Complete Deep learning Masterpiece by Andrew Ng

Neural Networks and Deep Learning.

Improving Deep Neural Networks: Hyperparameter tuning.

Regularization, and Optimization.

Structuring Machine Learning Projects.

Convolutional Neural Networks.

Sequence Models.

Beautifully drawn notes by Tess Ferrandez:
https://www.slideshare.net/TessFerrandez/notes-from-coursera-deep-learning-courses-by-andrew-ng

You can Download the PDF here 👇🏼:
https://github.com/mukeshmithrakumar/Book_List/blob/master/Deep%20learning%20Masterpiece%20by%20Andrew%20Ng.pdf

Credit: Mahmoud Badry

Follow me for more AI and Data science posts :
https://www.facebook.com/adhiraiyan/

#artificialintelligence #datascience #machinelearning #deeplearning #technology

https://www.facebook.com/groups/1738168866424224/permalink/2482023208705449/?sfnsn=mo
State of the art in estimating 3D human pose and shape! https://www.profillic.com/paper/arxiv:1912.05656

Here's an ultimate data science starter kit:

1. Foundational Skills

• Intro to Python - https://lnkd.in/grCsv8v

• Intro to R - https://lnkd.in/gKFiDZn

• Data Wrangling Pydata (90min) - https://lnkd.in/gEhF3-W

• EDA (20min video) - https://lnkd.in/gT8_RKh

• Stats/Prob (Khan Academy) - https://lnkd.in/gsyGpVu

2. Technical Skills

• Data Gathering- Why API Medium https://lnkd.in/gvahtsN

• Intro to SQL: https://lnkd.in/giWs-3N

• Complete SQL Bootcamp: https://lnkd.in/gsgf_fF

• Data Visualization - Medium https://lnkd.in/g3FSRgY

• Machine Learning A-Z: https://lnkd.in/gXqdBsQ

3. Business Skills

• Communication - Data Storytelling https://lnkd.in/gtiCSNT

• Business Analytics- Geckoboard https://lnkd.in/g2X-Xtp

4. Extra Skills

• Natural Language Processing - How to solve 90% of NLP https://lnkd.in/gh8bKe4

• Recommendation Systems - How Spotify Knows You So Well https://lnkd.in/gH2GQKu

• Time Series Analysis - Complete Time Series https://lnkd.in/gFZU2Rb

5. Practice

• Projects/Competitions - Kaggle Kernels https://www.kaggle.com/

• Problem Solving Challenges - HackerRank https://lnkd.in/g9Ps2cb

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Hope these resources help!

If you want more free DS/ML resources, feel free to check out my site: www.ClaoudML.com

Happy learning! #datascience #machinelearning

안녕하세요! TensorFlow-KR 논문읽기 모임 #PR12 의 214번째 논문은 2015년 ICCV에서 발표된 FlowNet: Learning Optical Flow with Convolutional Networks라는 논문입니다. Optical Flow는 비디오의 인접한 Frame에 대하여 각 Pixel이 첫 번째 Frame에서 두 번째 Frame으로 얼마나 이동했는지의 Vector를 모든 위치에 대하여 나타낸 Map입니다. Video에 Motion을 분석하는 일은 매우 중요하기 때문에, 이러한 Optical Flow 역시 굉장히 중요한 요소 중 하나인데요, 이번 영상에서는 고전적인 Computer Vision에서 쓰였던 다양한 Optical Flow 알고리즘들과, Deep Learning Based로 Optical Flow를 구하는 Neural Network인 FlowNet에 대하여 정리해 봤습니다. 감사합니다!! :)

Youtube link: [https://www.youtube.com/watch?v=Z_t0shK98pM](https://www.youtube.com/watch?v=Z_t0shK98pM)

Paper link : http://openaccess.thecvf.com/content_iccv_2015/html/Dosovitskiy_FlowNet_Learning_Optical_ICCV_2015_paper.html

Slide link : https://www.slideshare.net/HyeongminLee3/pr213-flownet-learning-optical-flow-with-convolutional-networks