Forwarded from Python/ django
How to get started with Python for Deep Learning and Data Science
A step-by-step guide to setting up Python for a complete beginner
https://medium.freecodecamp.org/how-to-get-started-with-python-for-deep-learning-and-data-science-3bed07f91a08
A step-by-step guide to setting up Python for a complete beginner
https://medium.freecodecamp.org/how-to-get-started-with-python-for-deep-learning-and-data-science-3bed07f91a08
freeCodeCamp.org
How to get started with Python for Deep Learning and Data Science
By Joseph Lee Wei En A step-by-step guide to setting up Python for a complete beginner You can code your own Data Science or Deep Learning project in just a couple of lines of code these days. This is not an exaggeration; many programmers out there ...
Google Open-Sources GPipe Library for Training Large-Scale Neural Network Models
https://medium.com/syncedreview/google-open-sources-gpipe-library-for-training-large-scale-neural-network-models-8b8ef324382c
https://medium.com/syncedreview/google-open-sources-gpipe-library-for-training-large-scale-neural-network-models-8b8ef324382c
Medium
Google Open-Sources GPipe Library for Training Large-Scale Neural Network Models
Deep neural network (DNN) models such as BigGAN, BERT, and GPT 2.0 have demonstrated that larger DNN models produce better task…
“Deep learning” about transcription factor-DNA binding
Using a convolutional neural network to measure transcription factor-DNA binding
https://towardsdatascience.com/deep-learning-about-transcription-factor-dna-binding-1d9753eabcc2
Using a convolutional neural network to measure transcription factor-DNA binding
https://towardsdatascience.com/deep-learning-about-transcription-factor-dna-binding-1d9753eabcc2
Medium
“Deep learning” about transcription factor-DNA binding
Using a convolutional neural network to measure transcription factor-DNA binding
NLP Learning Series: Part 3 - Attention, CNN and what not for Text Classification
https://mlwhiz.com/blog/2019/03/09/deeplearning_architectures_text_classification/
https://mlwhiz.com/blog/2019/03/09/deeplearning_architectures_text_classification/
Mlwhiz
NLP Learning Series: Part 3 - Attention, CNN and what not for Text Classification
This post is the third post of the NLP Text classification series.
How to Develop and Demonstrate Competence With Deep Learning for Computer Vision
https://machinelearningmastery.com/how-to-develop-and-demonstrate-competence-with-deep-learning-for-computer-vision/
https://machinelearningmastery.com/how-to-develop-and-demonstrate-competence-with-deep-learning-for-computer-vision/
Machine Learning Mastery
How to Develop Competence With Deep Learning for Computer Vision - Machine Learning Mastery
Computer vision is perhaps one area that has been most impacted by developments in deep learning.
It can be difficult to both develop and to demonstrate competence with deep learning for problems in the field of computer vision. It is not clear how to…
It can be difficult to both develop and to demonstrate competence with deep learning for problems in the field of computer vision. It is not clear how to…
The Best of AI: New Articles Published This Month (February 2019)
10 data articles handpicked by the Sicara team, just for you
https://blog.sicara.com/02-2019-best-ai-new-articles-this-month-cca9faaf867e
10 data articles handpicked by the Sicara team, just for you
https://blog.sicara.com/02-2019-best-ai-new-articles-this-month-cca9faaf867e
Sicara's blog
The Best of AI: New Articles Published This Month (February 2019)
10 data articles handpicked by the Sicara team, just for you
An All-Neural On-Device Speech Recognizer
http://ai.googleblog.com/2019/03/an-all-neural-on-device-speech.html
http://ai.googleblog.com/2019/03/an-all-neural-on-device-speech.html
research.google
An All-Neural On-Device Speech Recognizer
Posted by Johan Schalkwyk, Google Fellow, Speech Team In 2012, speech recognition research showed significant accuracy improvements with deep learn...
Exploring Univariate Data
Using Super Hero data to get started with univariate EDA in Python
https://towardsdatascience.com/exploring-univariate-data-e7e2dc8fde80
Using Super Hero data to get started with univariate EDA in Python
https://towardsdatascience.com/exploring-univariate-data-e7e2dc8fde80
Forwarded from Artificial Intelligence
9 Applications of Deep Learning for Computer Vision
https://machinelearningmastery.com/applications-of-deep-learning-for-computer-vision/
https://machinelearningmastery.com/applications-of-deep-learning-for-computer-vision/
MachineLearningMastery.com
9 Applications of Deep Learning for Computer Vision - MachineLearningMastery.com
The field of computer vision is shifting from statistical methods to deep learning neural network methods. There are still many challenging problems to solve in computer vision. Nevertheless, deep learning methods are achieving state-of-the-art results on…
The Latest Machine Learning Trends From MIT Professors and Researchers
https://hackernoon.com/the-latest-machine-learning-trends-from-mit-professors-and-researchers-cdda345dd207
https://hackernoon.com/the-latest-machine-learning-trends-from-mit-professors-and-researchers-cdda345dd207
Hackernoon
The Latest Machine Learning Trends From MIT Professors and Researchers | HackerNoon
The Massachusetts Institute of Technology (<a href="http://web.mit.edu/" target="_blank">MIT</a>) has always been known for its pioneering research, making a lasting difference to today’s technologically focused environment. And with machine learning development…
Harnessing Organizational Knowledge for Machine Learning
http://ai.googleblog.com/2019/03/harnessing-organizational-knowledge-for.html
http://ai.googleblog.com/2019/03/harnessing-organizational-knowledge-for.html
Googleblog
Harnessing Organizational Knowledge for Machine Learning
Computer_Vision:_Models,_Learning
26.3 MB
Book Computer Vision: Models, Learning, and Inference
Checklist for debugging neural networks
https://towardsdatascience.com/checklist-for-debugging-neural-networks-d8b2a9434f21
https://towardsdatascience.com/checklist-for-debugging-neural-networks-d8b2a9434f21
Medium
Checklist for debugging neural networks
Tangible steps you can take to identify and fix issues with training, generalization, and optimization for machine learning models
Forwarded from Artificial Intelligence
Google Faculty Research Awards 2018
http://ai.googleblog.com/2019/03/google-faculty-research-awards-2018.html
http://ai.googleblog.com/2019/03/google-faculty-research-awards-2018.html
Googleblog
Google Faculty Research Awards 2018
Robotic Control with Graph Networks
Exploiting relational inductive bias to improve generalization and control
https://towardsdatascience.com/robotic-control-with-graph-networks-f1b8d22b8c86
Exploiting relational inductive bias to improve generalization and control
https://towardsdatascience.com/robotic-control-with-graph-networks-f1b8d22b8c86
Medium
Robotic Control with Graph Networks
Exploiting relational inductive bias to improve generalization and control
DeepLearning.AI Convolutional Neural Networks Deep Learning Specialization Course (Review)
https://machinelearningmastery.com/deeplearning-ai-convolutional-neural-networks-deep-learning-specialization-review/
https://machinelearningmastery.com/deeplearning-ai-convolutional-neural-networks-deep-learning-specialization-review/
Machine Learning Mastery
DeepLearning.AI Convolutional Neural Networks Course (Review) - Machine Learning Mastery
Andrew Ng is famous for his Stanford machine learning course provided on Coursera.
In 2017, he released a five-part course on deep learning also on Coursera titled
In 2017, he released a five-part course on deep learning also on Coursera titled