Forwarded from Artificial Intelligence
What To Optimize for? Loss Function Cheat Sheet
https://medium.com/@urimerhav/what-to-optimize-for-loss-function-cheat-sheet-5fc8b1339939
https://medium.com/@urimerhav/what-to-optimize-for-loss-function-cheat-sheet-5fc8b1339939
Medium
What To Optimize for? Loss Function Cheat Sheet
Some tips in finding the right target for optimization, and how to figure it out for your use case
Box Convolution Layer for ConvNets
This is a PyTorch implementation of the box convolution layer as introduced in the 2018 NeurIPS paper:
https://github.com/shrubb/box-convolutions
This is a PyTorch implementation of the box convolution layer as introduced in the 2018 NeurIPS paper:
https://github.com/shrubb/box-convolutions
GitHub
GitHub - shrubb/box-convolutions: PyTorch code for the "Deep Neural Networks with Box Convolutions" paper
PyTorch code for the "Deep Neural Networks with Box Convolutions" paper - shrubb/box-convolutions
Image Segmentation using Python’s scikit-image module
https://towardsdatascience.com/image-segmentation-using-pythons-scikit-image-module-533a61ecc980
https://towardsdatascience.com/image-segmentation-using-pythons-scikit-image-module-533a61ecc980
Towards Data Science
Image Segmentation using Python's scikit-image module | Towards Data Science
An overview of the scikit-image library's image segmentation methods.
Forwarded from Artificial Intelligence
How Should Self-Driving Cars Choose Who Not to Kill?
https://medium.com/@MORGANMEAKER/how-should-self-driving-cars-choose-who-not-to-kill-442f2a5a1b59?source=topic_page---------------------------20
https://medium.com/@MORGANMEAKER/how-should-self-driving-cars-choose-who-not-to-kill-442f2a5a1b59?source=topic_page---------------------------20
Medium
How Should Self-Driving Cars Choose Who Not to Kill?
If an automated car had to choose between crashing into a barrier, killing its three female passengers, or running over one child in the street — which call should it make? When three U.S.-based…
Introducing PlaNet: A Deep Planning Network for Reinforcement Learning
https://ai.googleblog.com/2019/02/introducing-planet-deep-planning.html
https://ai.googleblog.com/2019/02/introducing-planet-deep-planning.html
blog.research.google
Introducing PlaNet: A Deep Planning Network for Reinforcement Learning
GANimation: Anatomically-aware Facial Animation from a Single Image
https://github.com/albertpumarola/GANimation
https://github.com/albertpumarola/GANimation
GitHub
GitHub - albertpumarola/GANimation: GANimation: Anatomically-aware Facial Animation from a Single Image (ECCV'18 Oral) [PyTorch]
GANimation: Anatomically-aware Facial Animation from a Single Image (ECCV'18 Oral) [PyTorch] - albertpumarola/GANimation
DeepWeeds: A Multiclass Weed Species Image Dataset for Deep Learning
https://www.nature.com/articles/s41598-018-38343-3
https://www.nature.com/articles/s41598-018-38343-3
Nature
DeepWeeds: A Multiclass Weed Species Image Dataset for Deep Learning
Scientific Reports - DeepWeeds: A Multiclass Weed Species Image Dataset for Deep Learning
On the Path to Cryogenic Control of Quantum Processors
http://ai.googleblog.com/2019/02/on-path-to-cryogenic-control-of-quantum.html
http://ai.googleblog.com/2019/02/on-path-to-cryogenic-control-of-quantum.html
research.google
On the Path to Cryogenic Control of Quantum Processors
Posted by Joseph Bardin, Visiting Faculty Researcher and Erik Lucero, Staff Research Scientist and Hardware Lead, Google AI Quantum Team Building a...
HandCrafting an Artificial Neural Network
In this article, I have implemented a fully vectorized code for Artificial Neural Network with Dropout and L2 Regularization.
https://towardsdatascience.com/handcrafting-an-artificial-neural-network-e0b663e88a53
In this article, I have implemented a fully vectorized code for Artificial Neural Network with Dropout and L2 Regularization.
https://towardsdatascience.com/handcrafting-an-artificial-neural-network-e0b663e88a53
Medium
HandCrafting an Artificial Neural Network
Having learnt the making and working of a neural network, it is very important to implement the code for better understanding.
1albon_c_machine_learning_with_p.pdf
3.4 MB
Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to Deep Learning
Getting Started with Reinforcement Learning and Open AI Gym
https://towardsdatascience.com/getting-started-with-reinforcement-learning-and-open-ai-gym-c289aca874f
https://towardsdatascience.com/getting-started-with-reinforcement-learning-and-open-ai-gym-c289aca874f
Medium
Getting Started with Reinforcement Learning and Open AI Gym
Solving the Mountain Car environment using Q-learning.
Learning to Generalize from Sparse and Underspecified Rewards
http://ai.googleblog.com/2019/02/learning-to-generalize-from-sparse-and.html
http://ai.googleblog.com/2019/02/learning-to-generalize-from-sparse-and.html
Googleblog
Learning to Generalize from Sparse and Underspecified Rewards
8 Tricks for Configuring Backpropagation to Train Better Neural Networks
https://machinelearningmastery.com/best-advice-for-configuring-backpropagation-for-deep-learning-neural-networks/
https://machinelearningmastery.com/best-advice-for-configuring-backpropagation-for-deep-learning-neural-networks/
MachineLearningMastery.com
8 Tricks for Configuring Backpropagation to Train Better Neural Networks - MachineLearningMastery.com
Neural network models are trained using stochastic gradient descent and model weights are updated using the backpropagation algorithm.
The optimization solved by training a neural network model is very challenging and although these algorithms are widely…
The optimization solved by training a neural network model is very challenging and although these algorithms are widely…
Convolutional Neural Network
Learn Convolutional Neural Network from basic and its implementation in Keras
https://towardsdatascience.com/covolutional-neural-network-cb0883dd6529
Learn Convolutional Neural Network from basic and its implementation in Keras
https://towardsdatascience.com/covolutional-neural-network-cb0883dd6529
Medium
Convolutional Neural Network
Learn Convolutional Neural Network from basic and its implementation in Keras