1. 10 New Things I Learnt from fast.ai v3
2. 2019 deep learning course Practical Deep Learning for Coders, v3.
10 learning points as such:
1. The Universal Approximation Theorem
2. Neural Networks: Design & Architecture
3. Understanding the Loss Landscape
4. Gradient Descent Optimisers
5. Loss Functions
6. Training
7. Regularisation
8. Tasks
9. Model Interpretability
10. Appendix: Jeremy Howard on Model Complexity & Regularisation
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https://towardsdatascience.com/10-new-things-i-learnt-from-fast-ai-v3-4d79c1f07e33
2. 2019 deep learning course Practical Deep Learning for Coders, v3.
10 learning points as such:
1. The Universal Approximation Theorem
2. Neural Networks: Design & Architecture
3. Understanding the Loss Landscape
4. Gradient Descent Optimisers
5. Loss Functions
6. Training
7. Regularisation
8. Tasks
9. Model Interpretability
10. Appendix: Jeremy Howard on Model Complexity & Regularisation
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@DeepLearning_AI
https://towardsdatascience.com/10-new-things-i-learnt-from-fast-ai-v3-4d79c1f07e33
Medium
10 New Things I Learnt from fast.ai v3
Learning points from 3 weeks of taking the course
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Free 6-Hour Data Science Course for Beginners
This course covers:
* foundations of data science
* data sourcing
* coding for data scientists
* mathematics for data scientists
* statistics
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https://www.freecodecamp.org/news/data-science-course-for-beginners/
This course covers:
* foundations of data science
* data sourcing
* coding for data scientists
* mathematics for data scientists
* statistics
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https://www.freecodecamp.org/news/data-science-course-for-beginners/
freeCodeCamp.org
Free 6-Hour Data Science Course for Beginners
Data science is considered the "sexiest job of the 21st century." Learn data science in this full 6-hour course for absolute beginners from Barton Poulson of datalab.cc. In this course, you'll learn the important elements of data science. You'll be i...
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Implement Back Propagation in Neural Networks
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https://medium.com/coinmonks/implement-back-propagation-in-neural-networks-ed09897593e7
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https://medium.com/coinmonks/implement-back-propagation-in-neural-networks-ed09897593e7
Medium
Implement Back Propagation in Neural Networks
When building neural networks, there are several steps to take. Perhaps the two most important steps are implementing forward and backward…
Review: FCN — Fully Convolutional Network (Semantic Segmentation)
Covered:
* From Image Classification to Semantic Segmentation
* Upsampling Via Deconvolution
* Fusing the Output
* Results
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https://towardsdatascience.com/review-fcn-semantic-segmentation-eb8c9b50d2d1
Covered:
* From Image Classification to Semantic Segmentation
* Upsampling Via Deconvolution
* Fusing the Output
* Results
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https://towardsdatascience.com/review-fcn-semantic-segmentation-eb8c9b50d2d1
Medium
Review: FCN — Fully Convolutional Network (Semantic Segmentation)
In this story, Fully Convolutional Network (FCN) for Semantic Segmentation is briefly reviewed. Compared with classification and detection…
Best Training & Certification Courses for Professionals | Edureka
* PGP in AI & Machine Learning
* Data Scientist Master Program
* Cloud Architect Masters Program
* .....
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* PGP in AI & Machine Learning
* Data Scientist Master Program
* Cloud Architect Masters Program
* .....
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Best Training & Certification Courses for Professionals | Edureka
* PGP in AI & Machine Learning
* Data Scientist Master Program
* Cloud Architect Masters Program
* .....
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https://www.edureka.co/all-courses
* PGP in AI & Machine Learning
* Data Scientist Master Program
* Cloud Architect Masters Program
* .....
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https://www.edureka.co/all-courses
edureka.co
Best Training & Certification Courses for Professionals | Edureka
Find the best online certification courses trusted by 600,000+ tech professionals across the world. Edureka offers live instructor led live classes, real life projects, 24x7 technical support and lifetime access.
650 Free Online Programming & Computer Science Courses You Can Start This July
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https://www.freecodecamp.org/news/650-free-online-programming-computer-science-courses-you-can-start-this-summer/
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https://www.freecodecamp.org/news/650-free-online-programming-computer-science-courses-you-can-start-this-summer/
freeCodeCamp.org
650 Free Online Programming & Computer Science Courses You Can Start This June
By Dhawal Shah Seven years ago, universities like MIT and Stanford first opened up free online courses to the public. Today, more than 900 schools around the world have created thousands of free online courses, popularly known as Massive Open Online ...
https://t.me/CodingNews/384
Join @CodingNews to learn the latest technologies and trends in the world of web development 👨🏼💻
You are welcome to participate in a dev related discussions @CodingChat
Join @CodingNews to learn the latest technologies and trends in the world of web development 👨🏼💻
You are welcome to participate in a dev related discussions @CodingChat
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🤖 Coding News ⚡️
The HTML canvas element is used to draw “raster” graphics on a web application. The Canvas API provides two drawing contexts: 2D and 3D, and in this guide, we’re going to talk about the 2D one (which I’ll refer it to the Canvas API for simplicity).
17…
17…
Machine Learning Crash Course
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https://www.freecodecamp.org/news/machine-learning-crash-course/
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https://www.freecodecamp.org/news/machine-learning-crash-course/
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FREE Online Classes to learn Data Science, Blockchain, Big Data :
Just choose your learning path, finish the courses and put the
#Badge in your LinkedIn profile to attract more recruiters!
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✅The learning path:
https://lnkd.in/gKTnANk
💡List of some the courses:
1)Introduction to Data Science
https://lnkd.in/fF79bEj
2)Data Science Tools
https://lnkd.in/fYf2ZC8
3)Data Science Methodology
https://lnkd.in/fY6Kwqd
4)Statistics
https://lnkd.in/fpgJf7D
5)Predictive Modeling Fundamentals I
https://lnkd.in/f9_Y7UZ
6)Python for Data Science
https://lnkd.in/fy8E2wH
7)Data Analysis with Python
https://lnkd.in/fRQWByd
8)Data Visualization with Python
https://lnkd.in/fFu93ME
9)Machine Learning with Python
https://lnkd.in/f_7r534
10)Deep Learning Fundamentals
https://lnkd.in/fNvPvix
11)Deep Learning with TensorFlow
https://lnkd.in/ftfRtvQ
and many more...
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@DeepLearning_AI
Just choose your learning path, finish the courses and put the
#Badge in your LinkedIn profile to attract more recruiters!
join👇👇👇
@DeepLearning_AI
✅The learning path:
https://lnkd.in/gKTnANk
💡List of some the courses:
1)Introduction to Data Science
https://lnkd.in/fF79bEj
2)Data Science Tools
https://lnkd.in/fYf2ZC8
3)Data Science Methodology
https://lnkd.in/fY6Kwqd
4)Statistics
https://lnkd.in/fpgJf7D
5)Predictive Modeling Fundamentals I
https://lnkd.in/f9_Y7UZ
6)Python for Data Science
https://lnkd.in/fy8E2wH
7)Data Analysis with Python
https://lnkd.in/fRQWByd
8)Data Visualization with Python
https://lnkd.in/fFu93ME
9)Machine Learning with Python
https://lnkd.in/f_7r534
10)Deep Learning Fundamentals
https://lnkd.in/fNvPvix
11)Deep Learning with TensorFlow
https://lnkd.in/ftfRtvQ
and many more...
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😱2
Top 13 Skills To Become a Rockstar Data Scientist – Towards Data Science
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https://towardsdatascience.com/top-13-skills-to-become-a-rockstar-data-scientist-faf2f97e655d
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https://towardsdatascience.com/top-13-skills-to-become-a-rockstar-data-scientist-faf2f97e655d
Medium
Top 13 Skills To Become a Rockstar Data Scientist
That separates you from a good data scientist
Advanced Topics in Deep Convolutional Neural Networks
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https://towardsdatascience.com/advanced-topics-in-deep-convolutional-neural-networks-71ef1190522d
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https://towardsdatascience.com/advanced-topics-in-deep-convolutional-neural-networks-71ef1190522d
Medium
Advanced Topics in Deep Convolutional Neural Networks
Residual networks, saliency maps, dilated convolutions, and more.
@DeepLearning_AI
List of Free Natural Language Processing Courses
1)Speech and Language Processing by Dan Jurafsky and James Martin
https://web.stanford.edu/~jurafsky/slp3/
2) Deep Learning for Natural Language Processing by Richard Socher (Stanford University)
https://m.youtube.com/playlist?list=PL3FW7Lu3i5Jsnh1rnUwq_TcylNr7EkRe6
3. Natural Language Processing (NLP) by Microsoft
https://www.edx.org/course/natural-language-processing-nlp-2
4. Andrew Ng’s course on Machine Learning
https://www.coursera.org/learn/machine-learning/home/welcome
5. The video lectures and resources for Stanford’s Natural Language Processing with Deep Learning
http://web.stanford.edu/class/cs224n/
https://m.youtube.com/playlist?list=PL3FW7Lu3i5Jsnh1rnUwq_TcylNr7EkRe6
6. Sequence Models for Time Series and Natural Language Processing
https://www.coursera.org/learn/sequence-models-tensorflow-gcp?ranMID=40328&ranEAID=SAyYsTvLiGQ&ranSiteID=SAyYsTvLiGQ-ACNikbtJvh2d5Evme5yZQA&siteID=SAyYsTvLiGQ-ACNikbtJvh2d5Evme5yZQA&utm_content=10&utm_medium=partners&utm_source=linkshare&utm_campaign=SAyYsTvLiGQ
7. Deep Natural Language Processing course offered in Hilary Term 2017 at the University of Oxford.
http://www.cs.ox.ac.uk/teaching/courses/2016-2017/dl/
8. Natural Language Processing Fundamentals in Python by Datacamp
https://www.datacamp.com/courses/natural-language-processing-fundamentals-in-python
9 Natural Language Processing by Higher School of Economics
https://www.coursera.org/learn/language-processing?
10 How to Build a Chatbot Without Coding by IBM
https://www.coursera.org/learn/building-ai-powered-chatbots
11. CS 388: Natural Language Processing by University of Texas
https://www.cs.utexas.edu/~mooney/cs388/
12. Natural Language Processing with Python
http://www.nltk.org/book/
13. CSEP 517: Natural Language Processing by University of Washington
https://courses.cs.washington.edu/courses/csep517/17sp/
14. Dan Jurafsky & Chris Manning: Natural Language Processing
https://m.youtube.com/playlist?list=PL8FFE3F391203C98C
15. NATURAL LANGUAGE PROCESSING by Carnegie Mellon University
http://demo.clab.cs.cmu.edu/NLP/
16. CS224n: Natural Language Processing with Deep Learning by Stanford University
http://web.stanford.edu/class/cs224n/
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@DeepLearning_AI
List of Free Natural Language Processing Courses
1)Speech and Language Processing by Dan Jurafsky and James Martin
https://web.stanford.edu/~jurafsky/slp3/
2) Deep Learning for Natural Language Processing by Richard Socher (Stanford University)
https://m.youtube.com/playlist?list=PL3FW7Lu3i5Jsnh1rnUwq_TcylNr7EkRe6
3. Natural Language Processing (NLP) by Microsoft
https://www.edx.org/course/natural-language-processing-nlp-2
4. Andrew Ng’s course on Machine Learning
https://www.coursera.org/learn/machine-learning/home/welcome
5. The video lectures and resources for Stanford’s Natural Language Processing with Deep Learning
http://web.stanford.edu/class/cs224n/
https://m.youtube.com/playlist?list=PL3FW7Lu3i5Jsnh1rnUwq_TcylNr7EkRe6
6. Sequence Models for Time Series and Natural Language Processing
https://www.coursera.org/learn/sequence-models-tensorflow-gcp?ranMID=40328&ranEAID=SAyYsTvLiGQ&ranSiteID=SAyYsTvLiGQ-ACNikbtJvh2d5Evme5yZQA&siteID=SAyYsTvLiGQ-ACNikbtJvh2d5Evme5yZQA&utm_content=10&utm_medium=partners&utm_source=linkshare&utm_campaign=SAyYsTvLiGQ
7. Deep Natural Language Processing course offered in Hilary Term 2017 at the University of Oxford.
http://www.cs.ox.ac.uk/teaching/courses/2016-2017/dl/
8. Natural Language Processing Fundamentals in Python by Datacamp
https://www.datacamp.com/courses/natural-language-processing-fundamentals-in-python
9 Natural Language Processing by Higher School of Economics
https://www.coursera.org/learn/language-processing?
10 How to Build a Chatbot Without Coding by IBM
https://www.coursera.org/learn/building-ai-powered-chatbots
11. CS 388: Natural Language Processing by University of Texas
https://www.cs.utexas.edu/~mooney/cs388/
12. Natural Language Processing with Python
http://www.nltk.org/book/
13. CSEP 517: Natural Language Processing by University of Washington
https://courses.cs.washington.edu/courses/csep517/17sp/
14. Dan Jurafsky & Chris Manning: Natural Language Processing
https://m.youtube.com/playlist?list=PL8FFE3F391203C98C
15. NATURAL LANGUAGE PROCESSING by Carnegie Mellon University
http://demo.clab.cs.cmu.edu/NLP/
16. CS224n: Natural Language Processing with Deep Learning by Stanford University
http://web.stanford.edu/class/cs224n/
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@DeepLearning_AI
Review: FPN — Feature Pyramid Network (Object Detection)
What Is Covered:
* Various Architecture in Literature
* Feature Pyramid Network (FPN)
* FPN for Region Proposal Network (RPN)
* FPN for Detection Network
* Ablation Experiments
* Comparison with State-of-the-art Approaches
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https://towardsdatascience.com/review-fpn-feature-pyramid-network-object-detection-262fc7482610
What Is Covered:
* Various Architecture in Literature
* Feature Pyramid Network (FPN)
* FPN for Region Proposal Network (RPN)
* FPN for Detection Network
* Ablation Experiments
* Comparison with State-of-the-art Approaches
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@DeepLearning_AI
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https://towardsdatascience.com/review-fpn-feature-pyramid-network-object-detection-262fc7482610
Medium
Review: FPN — Feature Pyramid Network (Object Detection)
Surpassing Single-Model Entries Including COCO Detection Challenges Winners, G-RMI and MultiPathNet
Face Recognition Using OpenCV | Loading Recognizer
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https://thecodacus.com/face-recognition-loading-recognizer/#.XQIPT1wzaUk
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https://thecodacus.com/face-recognition-loading-recognizer/#.XQIPT1wzaUk
Best Deep Learning Research of 2019 So Far
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https://medium.com/@ODSC/best-deep-learning-research-of-2019-so-far-7bea0ed22e38
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https://medium.com/@ODSC/best-deep-learning-research-of-2019-so-far-7bea0ed22e38
Medium
Best Deep Learning Research of 2019 So Far
We’re just about finished with Q1 of 2019, and the research side of deep learning technology is forging ahead at a very good clip. I…