Streaming f1-score in Tensorflow: the multilabel setting
This situation presents 2 challenges: computing an overall f1-score when you only have per-batch values, and doing so in a multilabel setting where micro, macro and weighted f1 scores are expected. What a journey!
Splitting a multilabel dataset with Python
Splitting a multi-label dataset into train and test sets is more complicated than the single-label case. You can't simply split each class. You have to be more clever, and stratify - here's how.
Save and Restore a Tensorflow model with its Dataset using simple_save
The saved_model API allows for easy saving. Restoring the model and performing inference is a bit trickier when the input Tensors come from a tf.data.Dataset. We'll see here how this works.
MacOS Terminal and Shell Setup with configuration files
That's my personal setup: links, descriptions and configuration. From ZSH to Pyenv through Spaceship and Tmux
AWS AMI for p2 instances with Tensorflow 1.0
Here is my second AMI, ugraded from the previous one with a lot of what you need
12 GB GPU for 0.1$ per hour? Hello AWS p2
Use my vict0rsch-2.0 AMI on a p2.xlarge instance
La sécurité sur internet expliquée à ta grand mère
Les grandes lignes que peuvent comprendre les petits cousins et les vieux oncles pour faire un peu attention sur internet. English version some day.
How to Use AWS GPU instances with Tensorflow and Keras Deep Learning frameworks
Using a personal AMI, I'll go through every single step from 0 (you don't even know what an instance is) to running a Tensorflow example on GPU including how to connect to the instance
From 0 to Tensorflow
I will show you the world... Kidding. Let's tool up for Tensorflow Keras etc. STATUS -> being written, be patient
Theano Quick Intro
Theano and Tensorflow don't handle computations as others do. They are millenials so they feel the need to be special.