Few-Shot Adversarial Learning of Realistic Neural Talking Head Models
paper — arxiv👇👇👇
https://arxiv.org/pdf/1905.08233.pdf
video — youtube👇👇👇
https://www.youtube.com/watch?v=p1b5aiTrGzY
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paper — arxiv👇👇👇
https://arxiv.org/pdf/1905.08233.pdf
video — youtube👇👇👇
https://www.youtube.com/watch?v=p1b5aiTrGzY
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Few-Shot Adversarial Learning of Realistic Neural Talking Head Models
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We believe that telepresence technologies in AR, VR and other media are to transform the world in the…
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We believe that telepresence technologies in AR, VR and other media are to transform the world in the…
Diving deeper into Reinforcement Learning with Q-Learning
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https://medium.com/free-code-camp/diving-deeper-into-reinforcement-learning-with-q-learning-c18d0db58efe
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https://medium.com/free-code-camp/diving-deeper-into-reinforcement-learning-with-q-learning-c18d0db58efe
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Diving deeper into Reinforcement Learning with Q-Learning
We launched a new free, updated, Deep Reinforcement Learning Course from beginner to expert, with Hugging Face 🤗
Decoding the Best Papers from ICLR 2019 – Neural Networks are Here to Rule
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https://www.analyticsvidhya.com/blog/2019/05/best-papers-iclr-2019/
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https://www.analyticsvidhya.com/blog/2019/05/best-papers-iclr-2019/
Analytics Vidhya
Decoding the Best Papers from ICLR 2019 - Neural Networks are Here to Rule
We break down the best papers from ICLR 2019 in an easy-to-understand manner that every data scientist should know!
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Courses :
1. Writing Functions and Stored Procedures in SQL Server
2. Analyzing Business Data in SQL
3. Feature Engineering for Machine Learning in Python
4. Introduction to Seaborn (in Python)
5. Advanced Dimensionality Reduction in R
6. Introduction to Text Analysis in R
7. Intermediate Interactive Data Visualization with plotly in R
1. https://www.datacamp.com/courses/writing-functions-and-stored-procedures-in-sql-server?utm_medium=email&utm_source=customerio&utm_campaign=course_7996
2. https://www.datacamp.com/courses/analyzing-business-data-in-sql?utm_medium=email&utm_source=customerio&utm_campaign=course_15268
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6. https://www.datacamp.com/courses/introduction-to-text-analysis-in-r?utm_medium=email&utm_source=customerio&utm_campaign=course_14290
7. https://www.datacamp.com/courses/intermediate-interactive-data-visualization-with-plotly-in-r?utm_medium=email&utm_source=customerio&utm_campaign=course_7193
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Writing Functions and Stored Procedures in SQL Server Course
Master SQL Server programming by learning to create, update, and execute functions and stored procedures.
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1) Learn Python the Hard Way (free ebook)
https://learnpythonthehardway.org/book/
2)Codecademy (free code tutorials)
https://www.codecademy.com/learn/learn-python
3)Google's Python class
https://developers.google.com/edu/python/
4)A Byte of Python (free ebook)
https://python.swaroopch.com
5)TutsPlus tutorial
https://code.tutsplus.com/articles/the-best-way-to-learn-python--net-26288
6)LEARN PYTHON ONLINE: BEST PYTHON
https://mikkegoes.com/learn-python-online-best-resources/
7)Best Python Resources for Beginners and Professionals
https://pythontips.com/2013/09/01/best-python-resources/amp/
8)TutorialsPoint
http://www.tutorialspoint.com/python/
9)Learning Python
https://docs.python-guide.org/intro/learning/
10)Full Stack Python
https://www.fullstackpython.com/best-python-resources.html
11)Python For Beginners
https://www.python.org/about/gettingstarted/
12)Codementor community
https://www.codementor.io/community/topic/python
13)How should I start learning Python?
https://www.quora.com/How-should-I-start-learning-Python-1
14)Codeconquest
https://www.codeconquest.com/blog/the-50-best-websites-to-learn-python/
15)Python for Beginners
https://www.pythonforbeginners.com
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Codecademy
Learn Python 2 | Codecademy
Learn the basics of the world's fastest growing and most popular programming language used by software engineers, analysts, data scientists, and machine learning engineers alike.
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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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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:
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https://www.freecodecamp.org/news/data-science-course-for-beginners/
This course covers:
* foundations of data science
* data sourcing
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* 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
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* PGP in AI & Machine Learning
* Data Scientist Master Program
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Best Training & Certification Courses for Professionals | Edureka
* PGP in AI & Machine Learning
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* Cloud Architect Masters Program
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https://www.edureka.co/all-courses
* PGP in AI & Machine Learning
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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 ...
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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).
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Machine Learning Crash Course
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FREE Online Classes to learn Data Science, Blockchain, Big Data :
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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
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4)Statistics
https://lnkd.in/fpgJf7D
5)Predictive Modeling Fundamentals I
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6)Python for Data Science
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7)Data Analysis with Python
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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
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.