Quantization Aware Training with TensorFlow Model Optimization Toolkit - Performance with Accuracy
https://blog.tensorflow.org/2020/04/quantization-aware-training-with-tensorflow-model-optimization-toolkit.html
Video: https://www.youtube.com/watch?time_continue=457&v=2tnWHCxP8Bk&feature=emb_logo
Code example: https://www.tensorflow.org/model_optimization/guide/quantization/training_comprehensive_guide#experiment_with_quantization
https://blog.tensorflow.org/2020/04/quantization-aware-training-with-tensorflow-model-optimization-toolkit.html
Video: https://www.youtube.com/watch?time_continue=457&v=2tnWHCxP8Bk&feature=emb_logo
Code example: https://www.tensorflow.org/model_optimization/guide/quantization/training_comprehensive_guide#experiment_with_quantization
Stacking Ensemble Machine Learning With Python - Machine Learning Mastery
https://machinelearningmastery.com/stacking-ensemble-machine-learning-with-python/
https://machinelearningmastery.com/stacking-ensemble-machine-learning-with-python/
How-to deploy TensorFlow 2 Models on Cloud AI Platform
https://blog.tensorflow.org/2020/04/how-to-deploy-tensorflow-2-models-on-cloud-ai-platform.html
https://blog.tensorflow.org/2020/04/how-to-deploy-tensorflow-2-models-on-cloud-ai-platform.html
blog.tensorflow.org
How-to deploy TensorFlow 2 Models on Cloud AI Platform
The TensorFlow blog contains regular news from the TensorFlow team and the community, with articles on Python, TensorFlow.js, TF Lite, TFX, and more.
How to Use One-vs-Rest and One-vs-One for Multi-Class Classification
https://machinelearningmastery.com/one-vs-rest-and-one-vs-one-for-multi-class-classification/
https://machinelearningmastery.com/one-vs-rest-and-one-vs-one-for-multi-class-classification/
XTREME: A Massively Multilingual Multi-task Benchmark for Evaluating Cross-lingual Generalization
https://ai.googleblog.com/2020/04/xtreme-massively-multilingual-multi.html
https://ai.googleblog.com/2020/04/xtreme-massively-multilingual-multi.html
Googleblog
XTREME: A Massively Multilingual Multi-task Benchmark for Evaluating Cross-lingual Generalization
How TensorFlow Lite helps you from prototype to product
https://blog.tensorflow.org/2020/04/how-tensorflow-lite-helps-you-from-prototype-to-product.html
https://blog.tensorflow.org/2020/04/how-tensorflow-lite-helps-you-from-prototype-to-product.html
blog.tensorflow.org
How TensorFlow Lite helps you from prototype to product
The TensorFlow blog contains regular news from the TensorFlow team and the community, with articles on Python, TensorFlow.js, TF Lite, TFX, and more.
Regularizing Meta-Learning via Gradient Dropout
Code: https://github.com/hytseng0509/DropGrad
Paper: https://arxiv.org/abs/2004.05859
Code: https://github.com/hytseng0509/DropGrad
Paper: https://arxiv.org/abs/2004.05859
GitHub
GitHub - hytseng0509/DropGrad: Regularizing Meta-Learning via Gradient Dropout
Regularizing Meta-Learning via Gradient Dropout. Contribute to hytseng0509/DropGrad development by creating an account on GitHub.
How to Develop Voting Ensembles With Python
https://machinelearningmastery.com/voting-ensembles-with-python/
https://machinelearningmastery.com/voting-ensembles-with-python/
MachineLearningMastery.com
How to Develop Voting Ensembles With Python - MachineLearningMastery.com
Voting is an ensemble machine learning algorithm. For regression, a voting ensemble involves making a prediction that is the average of multiple other regression models. In classification, a hard voting ensemble involves summing the votes for crisp class…
Why PyTorch Is the Deep Learning Framework of the Future
https://blog.paperspace.com/why-use-pytorch-deep-learning-framework/
https://blog.paperspace.com/why-use-pytorch-deep-learning-framework/
Paperspace by DigitalOcean Blog
Why PyTorch Is the Deep Learning Framework of the Future
An introduction to PyTorch, what makes it so advantageous, and how PyTorch compares to TensorFlow and Scikit-Learn. Then we'll look at how to use PyTorch by building a linear regression model and using it to make predictions.
How to Develop a Random Forest Ensemble in Python
https://machinelearningmastery.com/random-forest-ensemble-in-python/
https://machinelearningmastery.com/random-forest-ensemble-in-python/
Exploring Evolutionary Meta-Learning in Robotics
http://ai.googleblog.com/2020/04/exploring-evolutionary-meta-learning-in.html
http://ai.googleblog.com/2020/04/exploring-evolutionary-meta-learning-in.html
Google AI Blog
Exploring Evolutionary Meta-Learning in Robotics
Posted by Xingyou (Richard) Song, Software Engineer and Yuxiang Yang, AI Resident, Robotics at Google Rapid development of more accurate...
A Scalable Approach to Reducing Gender Bias in Google Translate
https://ai.googleblog.com/2020/04/a-scalable-approach-to-reducing-gender.html
https://ai.googleblog.com/2020/04/a-scalable-approach-to-reducing-gender.html
blog.research.google
A Scalable Approach to Reducing Gender Bias in Google Translate
A Gentle Introduction to Degrees of Freedom in Machine Learning
https://machinelearningmastery.com/degrees-of-freedom-in-machine-learning/
https://machinelearningmastery.com/degrees-of-freedom-in-machine-learning/
MachineLearningMastery.com
A Gentle Introduction to Degrees of Freedom in Machine Learning - MachineLearningMastery.com
Degrees of freedom is an important concept from statistics and engineering.
It is often employed to summarize the number of values used in the calculation of a statistic, such as a sample statistic or in a statistical hypothesis test.
In machine learning…
It is often employed to summarize the number of values used in the calculation of a statistic, such as a sample statistic or in a statistical hypothesis test.
In machine learning…
Yolo v4 (v3/v2) - Windows and Linux version of Darknet Neural Networks for object detection (Tensor Cores are used) http://pjreddie.com/darknet/
https://github.com/AlexeyAB/darknet
Paper Yolo v4: https://arxiv.org/abs/2004.10934
More details: http://pjreddie.com/darknet/yolo/
https://github.com/AlexeyAB/darknet
Paper Yolo v4: https://arxiv.org/abs/2004.10934
More details: http://pjreddie.com/darknet/yolo/
Making Decision Trees Accurate Again: Explaining What Explainable AI Did Not
https://bair.berkeley.edu/blog/2020/04/23/decisions/
https://bair.berkeley.edu/blog/2020/04/23/decisions/
Difference Between Algorithm and Model in Machine Learning
https://machinelearningmastery.com/difference-between-algorithm-and-model-in-machine-learning/
https://machinelearningmastery.com/difference-between-algorithm-and-model-in-machine-learning/
How Does NLP Benefit Legal System: A Summary of Legal Artificial Intelligence
https://github.com/thunlp/LegalPapers
Paper: https://arxiv.org/abs/2004.12158v2
https://github.com/thunlp/LegalPapers
Paper: https://arxiv.org/abs/2004.12158v2
Jukebox: a new generative model for audio from OpenAI.
Jukebox can generate music with neat (but still creepy) vocal in a variety of genres and artist styles.
openai.com/blog/jukebox
Article: cdn.openai.com/papers/jukebox.pdf
Examples: https://jukebox.openai.com/
Jukebox can generate music with neat (but still creepy) vocal in a variety of genres and artist styles.
openai.com/blog/jukebox
Article: cdn.openai.com/papers/jukebox.pdf
Examples: https://jukebox.openai.com/
Openai
Jukebox
We’re introducing Jukebox, a neural net that generates music, including rudimentary singing, as raw audio in a variety of genres and artist styles. We’re releasing the model weights and code, along with a tool to explore the generated samples.