Understanding LSTM in Tensorflow(Using MNIST dataset)
https://jasdeep06.github.io/posts/Understanding-LSTM-in-Tensorflow-MNIST/
https://jasdeep06.github.io/posts/Understanding-LSTM-in-Tensorflow-MNIST/
jasdeep06.github.io
Understanding LSTM in Tensorflow
CNNs in Tensorflow(cifar-10)
Oxford Course on Deep Learning for Natural Language Processing
https://machinelearningmastery.com/oxford-course-deep-learning-natural-language-processing/
https://machinelearningmastery.com/oxford-course-deep-learning-natural-language-processing/
MachineLearningMastery.com
Oxford Course on Deep Learning for Natural Language Processing - MachineLearningMastery.com
Deep Learning methods achieve state-of-the-art results on a suite of natural language processing problems
What makes this exciting is that single models are trained end-to-end, replacing a suite of specialized statistical models.
The University of Oxford…
What makes this exciting is that single models are trained end-to-end, replacing a suite of specialized statistical models.
The University of Oxford…
Guide on building your own neural conversational agent
https://blog.statsbot.co/chatbots-machine-learning-e83698b1a91e
https://blog.statsbot.co/chatbots-machine-learning-e83698b1a91e
Dynamically generating Python classes from TensorFlow SavedModels
https://github.com/ajbouh/tfi
https://github.com/ajbouh/tfi
GitHub
ajbouh/tfi
tfi - Use any TensorFlow model in a single line of code
Implementation of Gaussian Processes Classifier, MLP, k-NN, PCA, RBM, LogReg from scratch in python and examples on MNIST
https://github.com/monsta-hd/ml-mnist
https://github.com/monsta-hd/ml-mnist
GitHub
yell/mnist-challenge
My solution to TUM's Machine Learning MNIST challenge 2016-2017 [winner] - yell/mnist-challenge
Named Entity Recognition and the Road to Deep Learning
http://nlp.town/blog/ner-and-the-road-to-deep-learning/
http://nlp.town/blog/ner-and-the-road-to-deep-learning/
Sentiment analysis on Trump's tweets using Python
https://dev.to/rodolfoferro/sentiment-analysis-on-trumpss-tweets-using-python-
https://dev.to/rodolfoferro/sentiment-analysis-on-trumpss-tweets-using-python-
DEV Community
Sentiment analysis on Trump's tweets using Python 🐍
...
Dimensionality Reduction Using t-SNE
https://www.displayr.com/using-t-sne-to-visualize-data-before-prediction/
https://www.displayr.com/using-t-sne-to-visualize-data-before-prediction/
Displayr
Next time you have new data to analyze, try t-SNE first and see where it leads you!
t-SNE is a method for visualizing high dimensional space. It often produces more insightful charts than the alternatives like PCA.
ML-From-Scratch: Library of bare bones Python implementations of Machine Learning models and algorithms
https://github.com/eriklindernoren/ML-From-Scratch
https://github.com/eriklindernoren/ML-From-Scratch
GitHub
GitHub - eriklindernoren/ML-From-Scratch: Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models…
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear...
zygmuntz/goodbooks-10k - Ten thousand books, six million ratings
https://github.com/zygmuntz/goodbooks-10k
https://github.com/zygmuntz/goodbooks-10k
GitHub
GitHub - zygmuntz/goodbooks-10k: Ten thousand books, six million ratings
Ten thousand books, six million ratings. Contribute to zygmuntz/goodbooks-10k development by creating an account on GitHub.
Лекция 2. Визуализация. Открытый курс OpenDataScience и Mail.ru Group по машинному обучению
https://www.youtube.com/watch?v=vm63p8Od0bM
https://www.youtube.com/watch?v=vm63p8Od0bM
YouTube
Лекция 2. Визуализация. Открытый курс OpenDataScience по машинному обучению mlcourse.ai
То же видео, но с улучшенным звуком https://www.youtube.com/watch?v=uwQat1TV0JM (tnx to Denis Cera, Oleg Butko)
На 2-ой лекции мы попрактикуемся в визуальном анализе данных средствами Python – matplotlib и seaborn.
Сайт курса – https://mlcourse.ai
О курсе…
На 2-ой лекции мы попрактикуемся в визуальном анализе данных средствами Python – matplotlib и seaborn.
Сайт курса – https://mlcourse.ai
О курсе…
Primer on Neural Network Models for Natural Language Processing
https://machinelearningmastery.com/primer-neural-network-models-natural-language-processing/
https://machinelearningmastery.com/primer-neural-network-models-natural-language-processing/
MachineLearningMastery.com
Primer on Neural Network Models for Natural Language Processing - MachineLearningMastery.com
Deep learning is having a large impact on the field of natural language processing.
But, as a beginner, where do you start?
Both deep learning and natural language processing are huge fields. What are the salient aspects of each field to focus on and…
But, as a beginner, where do you start?
Both deep learning and natural language processing are huge fields. What are the salient aspects of each field to focus on and…
Want to understand t-SNE better? Here's a step-by-step guide to the math, with numpy implementation.
https://nlml.github.io/in-raw-numpy/in-raw-numpy-t-sne/
https://nlml.github.io/in-raw-numpy/in-raw-numpy-t-sne/
nlml
In Raw Numpy: t-SNE
This is the first post in the In Raw Numpy series. This series is an attempt to provide readers (and myself) with an understanding of some of the most frequently-used machine learning methods by going through the math and intuition, and implementing it using…
How we Hacked GTA V for Carvana Kaggle Challenge
https://hackernoon.com/hacking-gta-v-for-carvana-kaggle-challenge-6d0b7fb4c781
https://hackernoon.com/hacking-gta-v-for-carvana-kaggle-challenge-6d0b7fb4c781
Hackernoon
Hacking GTA V for Carvana Kaggle Challenge
<a href="https://www.kaggle.com/c/carvana-image-masking-challenge" target="_blank">Carvana Image Masking Challenge</a> hosted on Kaggle have attracted a lot of attention from the Deep Learning community. Currently, the contest has more than 600 teams registered.…
The Ten Fallacies of Data Science – Towards Data Science – Medium
https://medium.com/@brennash/the-ten-fallacies-of-data-science-9b2af78a1862
https://medium.com/@brennash/the-ten-fallacies-of-data-science-9b2af78a1862
Medium
The Ten Fallacies of Data Science
There exists a hidden gap between the more idealized view of the world given to data-science students and recent hires, and the issues they…
Pytorch implementation of Facebook's Seq2Seq
https://github.com/facebookresearch/fairseq-py
https://github.com/facebookresearch/fairseq-py
GitHub
pytorch/fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python. - pytorch/fairseq
New version of our Jupyter Notebook client for iPad is available for beta testing now — bringing code completion, fixes and more. (x-post from /r/IPython)
https://kernels.io/kernels-v-1-0-3-beta/
https://kernels.io/kernels-v-1-0-3-beta/
Kernels
Kernels v.1.0.3 beta
A new beta release of Kernels, a Jupyter Notebook client for iPad.