Data Science by ODS.ai 🦜
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First Telegram Data Science channel. Covering all technical and popular staff about anything related to Data Science: AI, Big Data, Machine Learning, Statistics, general Math and the applications of former. To reach editors contact: @malev
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Data Science by ODS.ai 🦜
46K subscribers
Data Science by ODS.ai 🦜
Pitfalls of Batch Norm in TensorFlow and Sanity Checks for Training Networks

Some more practical advices on #tensorflow training with source code and reference links to look up.

https://medium.com/@theshank/pitfalls-of-batch-norm-in-tensorflow-and-sanity-checks-for-training-networks-e86c207548c8

#beginner #novice #dl #tutorial
Medium
Pitfalls of Batch Norm in TensorFlow and Sanity Checks for Training Networks
Caveats of Batch norm: Moving mean and variance update, sharing batch norm parameters, different behaviour at train and test
3.41K views
Data Science by ODS.ai 🦜
Introduction to Python Ensembles

Ensemble is an approach for mixing algorithms to obtain strong sides of all the approaches.

https://www.kdnuggets.com/2018/02/introduction-python-ensembles.html

#ensemble #stacking #tutorial #beginnig #novice
3.43K views
Data Science by ODS.ai 🦜
Most common pitfalls, you can encounter when training neural network.

http://telegra.ph/Most-common-neural-network-mistakes-07-01

#beginner #novice #dl #tutorial
Telegraph
Most common neural network mistakes
You didn't try to overfit a single batch first You forgot to toggle train/eval mode for the net You forgot to .zero_grad() (in pytorch) before .backward() You passed softmaxed outputs to a loss that expects raw logits You didn't use `bias=False` for your…
4.37K views
Data Science by ODS.ai 🦜
Deep Learning for Matching in Search and Recommendation

PDF: http://www.comp.nus.edu.sg/~xiangnan/sigir18-deep.pdf

#sigir2018 #Tutorial
3.81K views
Data Science by ODS.ai 🦜
Toward theoretical understanding of deep learning

http://unsupervised.cs.princeton.edu/deeplearningtutorial.html

#ICML2018 #tutorial #dl
unsupervised.cs.princeton.edu
Toward Theoretical Understanding of Deep Learning: Slides and
Bibliography
Material to accompany ICMLR'18
tutorial.
4.45K views
Data Science by ODS.ai 🦜
Complete code examples for Machine Translation with Attention, Image Captioning, Text Generation, and DCGAN implemented with tf.keras and eager execution

“Complete code examples for Machine Translation with Attention, Image Captioning, Text Generation…” https://medium.com/tensorflow/complete-code-examples-for-machine-translation-with-attention-image-captioning-text-generation-51663d07a63d

#tensorflow #tutorial
Medium
Complete code examples for Machine Translation with Attention, Image Captioning, Text Generation, and DCGAN implemented with tf.keras…
By Yash Katariya, Developer Programs Engineer Intern
5.64K views
Data Science by ODS.ai 🦜
Deploying a Machine Learning Model as a REST API

Yet another #tutorial on how to serve #production model with flask.

Link: https://towardsdatascience.com/deploying-a-machine-learning-model-as-a-rest-api-4a03b865c166
Github repo: https://github.com/mnguyenngo/flask-rest-setup/tree/master/sentiment-clf
Medium
Deploying a Machine Learning Model as a REST API
As a Python developer and data scientist, I have a desire to build web apps to showcase my work. As much as I like to design the front-end…
5.5K views