Contributing Data to Deepfake Detection Research
https://ai.googleblog.com/2019/09/contributing-data-to-deepfake-detection.html
FaceForensics++: Learning to Detect Manipulated Facial Images
https://github.com/ondyari/FaceForensics/
FaceForensics benchmark
https://kaldir.vc.in.tum.de/faceforensics_benchmark/
https://ai.googleblog.com/2019/09/contributing-data-to-deepfake-detection.html
FaceForensics++: Learning to Detect Manipulated Facial Images
https://github.com/ondyari/FaceForensics/
FaceForensics benchmark
https://kaldir.vc.in.tum.de/faceforensics_benchmark/
research.google
Contributing Data to Deepfake Detection Research
Posted by Nick Dufour, Google Research and Andrew Gully, Jigsaw Deep learning has given rise to technologies that would have been thought impossibl...
Using TensorFlow to predict product weight and dimensions
https://medium.com/tensorflow/using-tensorflow-to-predict-product-weight-and-dimensions-8e6af3ab3466
https://medium.com/tensorflow/using-tensorflow-to-predict-product-weight-and-dimensions-8e6af3ab3466
Medium
Using TensorFlow to predict product weight and dimensions
A Guest Post by Rodolfo Bonnin from the Mercado Libre Applied Machine Learning team
Personal online machine learning and neural networks consultations from professionals from leading companies such as Yandex, dbrain, etc.
Experts with real experience in the field of data science are ready to share their knowledge and help you:
- start working with data
- answer questions on meshing
- with compilation of dataset
- understand whether ML / DL will be used effectively for their tasks
and with many other questions.
https://bigxp.ru/categories/konsultacii_po_mashinnomu_obucheniyu_k13?utm_medium=tg
Experts with real experience in the field of data science are ready to share their knowledge and help you:
- start working with data
- answer questions on meshing
- with compilation of dataset
- understand whether ML / DL will be used effectively for their tasks
and with many other questions.
https://bigxp.ru/categories/konsultacii_po_mashinnomu_obucheniyu_k13?utm_medium=tg
A Gentle Introduction to Joint, Marginal, and Conditional Probability
https://machinelearningmastery.com/joint-marginal-and-conditional-probability-for-machine-learning/
https://machinelearningmastery.com/joint-marginal-and-conditional-probability-for-machine-learning/
MachineLearningMastery.com
A Gentle Introduction to Joint, Marginal, and Conditional Probability - MachineLearningMastery.com
Probability quantifies the uncertainty of the outcomes of a random variable. It is relatively easy to understand and compute the probability for a single variable. Nevertheless, in machine learning, we often have many random variables that interact in often…
An open-source python library built to empower developers to build applications and systems with self-contained Deep Learning and Computer Vision capabilities using simple and few lines of code.
https://github.com/OlafenwaMoses/ImageAI
https://github.com/OlafenwaMoses/ImageAI
GitHub
GitHub - OlafenwaMoses/ImageAI: A python library built to empower developers to build applications and systems with self-contained…
A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities - OlafenwaMoses/ImageAI
DeepMind Measures 7 Capabilities Every AI Should Have
video: https://www.youtube.com/watch?v=zrF5_O92ELQ
📝 The paper "Behaviour Suite for Reinforcement Learning"
https://arxiv.org/abs/1908.03568
code https://github.com/deepmind/bsuite
video: https://www.youtube.com/watch?v=zrF5_O92ELQ
📝 The paper "Behaviour Suite for Reinforcement Learning"
https://arxiv.org/abs/1908.03568
code https://github.com/deepmind/bsuite
YouTube
These Are The 7 Capabilities Every AI Should Have
❤️ Thank you so much for your support on Patreon: https://www.patreon.com/TwoMinutePapers
📝 The paper "Behaviour Suite for Reinforcement Learning" is available here:
https://arxiv.org/abs/1908.03568
https://github.com/deepmind/bsuite
🙏 We would like to…
📝 The paper "Behaviour Suite for Reinforcement Learning" is available here:
https://arxiv.org/abs/1908.03568
https://github.com/deepmind/bsuite
🙏 We would like to…
A Critical Analysis of Biased Parsers in Unsupervised Parsing
https://arxiv.org/abs/1909.09428v1
https://arxiv.org/abs/1909.09428v1
arXiv.org
A Critical Analysis of Biased Parsers in Unsupervised Parsing
A series of recent papers has used a parsing algorithm due to Shen et al.
(2018) to recover phrase-structure trees based on proxies for "syntactic
depth." These proxy depths are obtained from the...
(2018) to recover phrase-structure trees based on proxies for "syntactic
depth." These proxy depths are obtained from the...
How to Develop an Intuition for Joint, Marginal, and Conditional Probability
https://machinelearningmastery.com/how-to-calculate-joint-marginal-and-conditional-probability/
https://machinelearningmastery.com/how-to-calculate-joint-marginal-and-conditional-probability/
A mix of GAN implementations including progressive growing
https://github.com/facebookresearch/pytorch_GAN_zoo
https://github.com/facebookresearch/pytorch_GAN_zoo
GitHub
GitHub - facebookresearch/pytorch_GAN_zoo: A mix of GAN implementations including progressive growing
A mix of GAN implementations including progressive growing - facebookresearch/pytorch_GAN_zoo
Large-Scale Multilingual Speech Recognition with a Streaming End-to-End Model
https://ai.googleblog.com/2019/09/large-scale-multilingual-speech.html
article: https://arxiv.org/abs/1909.05330
https://ai.googleblog.com/2019/09/large-scale-multilingual-speech.html
article: https://arxiv.org/abs/1909.05330
research.google
Large-Scale Multilingual Speech Recognition with a Streaming End-to-End Model
Posted by Arindrima Datta and Anjuli Kannan, Software Engineers, Google Research Google's mission is not just to organize the world's information b...
🚀 TensorFlow 2.0.0
github: https://github.com/tensorflow/tensorflow/releases/tag/v2.0.0
how to install: https://www.tensorflow.org/install
blog: https://medium.com/tensorflow/tensorflow-2-0-is-now-available-57d706c2a9ab
video: https://www.youtube.com/watch?v=EqWsPO8DVXk
github: https://github.com/tensorflow/tensorflow/releases/tag/v2.0.0
how to install: https://www.tensorflow.org/install
blog: https://medium.com/tensorflow/tensorflow-2-0-is-now-available-57d706c2a9ab
video: https://www.youtube.com/watch?v=EqWsPO8DVXk
GitHub
Release TensorFlow 2.0.0 · tensorflow/tensorflow
Release 2.0.0
Major Features and Improvements
TensorFlow 2.0 focuses on simplicity and ease of use, featuring updates like:
Easy model building with Keras and eager execution.
Robust model deploym...
Major Features and Improvements
TensorFlow 2.0 focuses on simplicity and ease of use, featuring updates like:
Easy model building with Keras and eager execution.
Robust model deploym...
How to Develop an Intuition for Probability With Worked Examples
https://machinelearningmastery.com/how-to-develop-an-intuition-for-probability-with-worked-examples/
https://machinelearningmastery.com/how-to-develop-an-intuition-for-probability-with-worked-examples/
MachineLearningMastery.com
How to Develop an Intuition for Probability With Worked Examples - MachineLearningMastery.com
Probability calculations are frustratingly unintuitive. Our brains are too eager to take shortcuts and get the wrong answer, instead of thinking through a problem and calculating the probability correctly. To make this issue obvious and aid in developing…
Forwarded from Artificial Intelligence
OpenAI’s GPT-2 Text Generator: Wise As a Scholar
https://www.youtube.com/watch?v=0OtZ8dUFxXA
OpenAI's post: https://openai.com/blog/gpt-2-6-month-follow-up/
https://www.youtube.com/watch?v=0OtZ8dUFxXA
OpenAI's post: https://openai.com/blog/gpt-2-6-month-follow-up/
YouTube
OpenAI’s GPT-2 Is Now Available - It Is Wise as a Scholar! 🎓
❤️ Check out Weights & Biases here and sign up for a free demo: https://www.wandb.com/papers
Weights & Biases blog post (the notebook is available too!)
- https://www.wandb.com/articles/visualize-xgboost-in-one-line
- https://colab.research.google.com/d…
Weights & Biases blog post (the notebook is available too!)
- https://www.wandb.com/articles/visualize-xgboost-in-one-line
- https://colab.research.google.com/d…
Releasing PAWS and PAWS-X: Two New Datasets to Improve Natural Language Understanding Models
https://ai.googleblog.com/2019/10/releasing-paws-and-paws-x-two-new.html
PAWS: Paraphrase Adversaries from Word Scrambling
https://arxiv.org/abs/1904.01130
dataset: https://github.com/google-research-datasets/paws
https://ai.googleblog.com/2019/10/releasing-paws-and-paws-x-two-new.html
PAWS: Paraphrase Adversaries from Word Scrambling
https://arxiv.org/abs/1904.01130
dataset: https://github.com/google-research-datasets/paws
Googleblog
Releasing PAWS and PAWS-X: Two New Datasets to Improve Natural Language Understanding Models
❤1
A Gentle Introduction to Bayes Theorem for Machine Learning
https://machinelearningmastery.com/bayes-theorem-for-machine-learning/
https://machinelearningmastery.com/bayes-theorem-for-machine-learning/