Automatic Poetry Generation with Mutual Reinforcement Learning"
By Xiaoyuan Yi, Maosong Sun, Ruoyu Li and Wenhao Li: https://lnkd.in/e4nUi9B
#ArtificialIntelligence #DeepLearning #MachineLearning #ReinforcementLearning
❇️ @AI_Python
🗣 @AI_Python_Arxiv
✴️ @AI_Python_EN
By Xiaoyuan Yi, Maosong Sun, Ruoyu Li and Wenhao Li: https://lnkd.in/e4nUi9B
#ArtificialIntelligence #DeepLearning #MachineLearning #ReinforcementLearning
❇️ @AI_Python
🗣 @AI_Python_Arxiv
✴️ @AI_Python_EN
Artificial Intelligence Index 2018
https://lnkd.in/dBNzrca
#artificialintelligence
❇️ @AI_Python
🗣 @AI_Python_Arxiv
✴️ @AI_Python_EN
https://lnkd.in/dBNzrca
#artificialintelligence
❇️ @AI_Python
🗣 @AI_Python_Arxiv
✴️ @AI_Python_EN
"Playing a game of GANstruction"
Blog by Helena Sarin: https://lnkd.in/dZ6T4tc
#ArtificialIntelligence #DeepLearning #GenerativeAdversarialNetworks #MachineLearning
✴️ @AI_Python_EN
🗣 @AI_Python_arXiv
❇️ @AI_Python
Blog by Helena Sarin: https://lnkd.in/dZ6T4tc
#ArtificialIntelligence #DeepLearning #GenerativeAdversarialNetworks #MachineLearning
✴️ @AI_Python_EN
🗣 @AI_Python_arXiv
❇️ @AI_Python
If you are ready to step up your artificial intelligence skills to a new level, Reinforcement Learning is the next step (after Machine Learning and Deep Learning). Here is a good book on Reinforcement Learning.
Reinforcement Learning: An Introduction
Book by Andrew Barto and Richard S. Sutton
Download: https://lnkd.in/eV42FUP
#reinforcementlearning #machinelearning #artificialintelligence #ai #datascience
✴️ @AI_Python_EN
🗣 @AI_Python_arXiv
❇️ @AI_Python
Reinforcement Learning: An Introduction
Book by Andrew Barto and Richard S. Sutton
Download: https://lnkd.in/eV42FUP
#reinforcementlearning #machinelearning #artificialintelligence #ai #datascience
✴️ @AI_Python_EN
🗣 @AI_Python_arXiv
❇️ @AI_Python
Python Plotting With Matplotlib (Guide) – Real Python http://bit.ly/2QKqQzw
#AI #DeepLearning #MachineLearning #DataScience
✴️ @AI_Python_EN
🗣 @AI_Python_arXiv
❇️ @AI_Python
#AI #DeepLearning #MachineLearning #DataScience
✴️ @AI_Python_EN
🗣 @AI_Python_arXiv
❇️ @AI_Python
Reza Zadeh:
Creating super slow motion videos by predicting missing frames using a neural network, instead of simple interpolation. With code.
Code: https://github.com/avinashpaliwal/Super-SloMo
Project: https://people.cs.umass.edu/~hzjiang/projects/superslomo/
#AI #DeepLearning #MachineLearning #DataScience #neuralnetwork
✴️ @AI_Python_EN
🗣 @AI_Python_arXiv
❇️ @AI_Python
Creating super slow motion videos by predicting missing frames using a neural network, instead of simple interpolation. With code.
Code: https://github.com/avinashpaliwal/Super-SloMo
Project: https://people.cs.umass.edu/~hzjiang/projects/superslomo/
#AI #DeepLearning #MachineLearning #DataScience #neuralnetwork
✴️ @AI_Python_EN
🗣 @AI_Python_arXiv
❇️ @AI_Python
t's interesting that we expect #ML algorithms to explain themselves when humans can't even do that. Maybe the task is to observe enough AI decisions to make them an object of study - that is, to try to back out patterns and give them meaning. A psychology of machines if you will.
AlphaZero taught itself the principles of chess, and In a matter of hours became the best player the world has ever seen.
https://t.co/Cc6eZXo0q7
✴️ @AI_Python_EN
🗣 @AI_Python_arXiv
❇️ @AI_Python
AlphaZero taught itself the principles of chess, and In a matter of hours became the best player the world has ever seen.
https://t.co/Cc6eZXo0q7
✴️ @AI_Python_EN
🗣 @AI_Python_arXiv
❇️ @AI_Python
Hunt for talented #machinelearning engineers and professionals was already intensifying in 2015 onwards.
Will hunt for #deeplearning engineers create even bigger waves in the #AI economy?
"How Machine Learning Is Transforming The Hunt for Talent – Part Deux" which he writes occasionally on his personal website.
✴️ @AI_Python_EN
🗣 @AI_Python_arXiv
❇️ @AI_Python
Will hunt for #deeplearning engineers create even bigger waves in the #AI economy?
"How Machine Learning Is Transforming The Hunt for Talent – Part Deux" which he writes occasionally on his personal website.
✴️ @AI_Python_EN
🗣 @AI_Python_arXiv
❇️ @AI_Python
The Eye In The Sky"
Satellite Image Classification using Semantic Segmentation
By Manideep Kolla, Apoorva Kumar, Aniket Mandle
GitHub repository: https://lnkd.in/eB2g-dX
#artificialintelligence #deeplearning #machinelearning #keras #tensorflow
✴️ @AI_Python_EN
🗣 @AI_Python_arXiv
❇️ @AI_Python
Satellite Image Classification using Semantic Segmentation
By Manideep Kolla, Apoorva Kumar, Aniket Mandle
GitHub repository: https://lnkd.in/eB2g-dX
#artificialintelligence #deeplearning #machinelearning #keras #tensorflow
✴️ @AI_Python_EN
🗣 @AI_Python_arXiv
❇️ @AI_Python
What is required today is not Artificial but Collaborative intelligence. Humans and AI can co-exist for a better and a promising tomorrow.
#ai
✴️ @AI_Python_EN
🗣 @AI_Python_arXiv
❇️ @AI_Python
#ai
✴️ @AI_Python_EN
🗣 @AI_Python_arXiv
❇️ @AI_Python
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یک #انیمیشن کوتاه فوقالعاده زیبا که فکر میکنم حکایت خیلی از ایدهها بوده و هست
An idea can be sparked by a moment of #inspiration. But making that idea come true, takes time and hard work
✴️ @AI_Python_EN
❇️ @AI_Python
🗣 @AI_Python_Arxiv
An idea can be sparked by a moment of #inspiration. But making that idea come true, takes time and hard work
✴️ @AI_Python_EN
❇️ @AI_Python
🗣 @AI_Python_Arxiv
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Deep learning is the fastest-growing field in artificial intelligence, helping computers make sense of infinite amounts of data in the form of images, sound, and text. Using multiple levels of neural networks, computers now have the capacity to see, learn, and react to complex situations as well or better than humans. Every industry will be impacted by deep learning, and many businesses are already delivering new products and services based on this new way of thinking about data and technology.
#artificialintelligence #deeplearning #neuralnetworks #technology #opportunity #machinelearning #datascience
❇️ @AI_Python
🗣 @AI_Python_Arxiv
✴️ @AI_Python_EN
#artificialintelligence #deeplearning #neuralnetworks #technology #opportunity #machinelearning #datascience
❇️ @AI_Python
🗣 @AI_Python_Arxiv
✴️ @AI_Python_EN
Machine learning projects for kids
Step-by-step guides, with explanations and colour screenshots for students to follow: https://lnkd.in/eYxcp2b
#artificalintelligence #machinelearning
✴️ @AI_Python_EN
❇️ @AI_Python
🗣 @AI_Python_Arxiv
Step-by-step guides, with explanations and colour screenshots for students to follow: https://lnkd.in/eYxcp2b
#artificalintelligence #machinelearning
✴️ @AI_Python_EN
❇️ @AI_Python
🗣 @AI_Python_Arxiv
Facebook: Introducing Wav2latter++
#DataScience #MachineLearning #Artificialintelligence
http://bit.ly/2EP6spL
✴️ @AI_Python_EN
❇️ @AI_Python
🗣 @AI_Python_Arxiv
#DataScience #MachineLearning #Artificialintelligence
http://bit.ly/2EP6spL
✴️ @AI_Python_EN
❇️ @AI_Python
🗣 @AI_Python_Arxiv
Rules of Machine Learning: Best Practices for ML Engineering
By Martin Zinkevich: https://lnkd.in/d-g49zg
#ArtificialIntelligence #MachineLearning
✴️ @AI_Python_EN
❇️ @AI_Python
🗣 @AI_Python_Arxiv
By Martin Zinkevich: https://lnkd.in/d-g49zg
#ArtificialIntelligence #MachineLearning
✴️ @AI_Python_EN
❇️ @AI_Python
🗣 @AI_Python_Arxiv
A tip for all prospective #datascientists: #datascience is nothing but a new means to solve #business problems. #problemsolving will be only key to success. Coding languages & technologies will keep changing. Problem solving skills will always be top priority for any recruiter.
✴️ @AI_Python_EN
❇️ @AI_Python
🗣 @AI_Python_Arxiv
✴️ @AI_Python_EN
❇️ @AI_Python
🗣 @AI_Python_Arxiv
How to manage a Deep Learning team to improving an algorithm in production?
First of all, we split the process into a different part as pre-processing, choose the right model, algorithm implementation and integration.
1. In our team, there is a couple of people has a deep knowledge of the data. These persons can set up the training set in accord with the Deep Learning research that has the goal to find the best model in the literature for our specific problem.
2. The Deep Learning research has the assignment to understand if someone has faced the same problem in some kind of academic research. This is the best starting point to try to solve a real work problem. Bring academic research in an enterprise solution.
3. After trying to reproduce the same result of the academic research we start the real implementation of the algorithm. This means, hyperparameters implementation to find the best fit of our model.
4. The last part is very important. Once we find the best solution in the lab. We have to release this code in production. This is a critical part because sometimes the results are good in the lab but the model does not work very well in the real world.
#deeplearningteam
✴️ @AI_Python_EN
❇️ @AI_Python
🗣 @AI_Python_Arxiv
First of all, we split the process into a different part as pre-processing, choose the right model, algorithm implementation and integration.
1. In our team, there is a couple of people has a deep knowledge of the data. These persons can set up the training set in accord with the Deep Learning research that has the goal to find the best model in the literature for our specific problem.
2. The Deep Learning research has the assignment to understand if someone has faced the same problem in some kind of academic research. This is the best starting point to try to solve a real work problem. Bring academic research in an enterprise solution.
3. After trying to reproduce the same result of the academic research we start the real implementation of the algorithm. This means, hyperparameters implementation to find the best fit of our model.
4. The last part is very important. Once we find the best solution in the lab. We have to release this code in production. This is a critical part because sometimes the results are good in the lab but the model does not work very well in the real world.
#deeplearningteam
✴️ @AI_Python_EN
❇️ @AI_Python
🗣 @AI_Python_Arxiv
Machine Learning in High Energy Physics Community White Paper"
Paper by Albertsson et al.: https://lnkd.in/ehNqt2k
#ComputationalPhysics #MachineLearning #HighEnergyPhysics
✴️ @AI_Python_EN
❇️ @AI_Python
🗣 @AI_Python_Arxiv
Paper by Albertsson et al.: https://lnkd.in/ehNqt2k
#ComputationalPhysics #MachineLearning #HighEnergyPhysics
✴️ @AI_Python_EN
❇️ @AI_Python
🗣 @AI_Python_Arxiv