About Convolutional Layer and Convolution Kernel
A story of Convnet in machine learning from the perspective of kernel sizes.
Arnault
Data Scientist
Hands on hyperparameter tuning with Keras Tuner
Or how hyperparameter tuning with Keras Tuner can boost your object classification network's accuracy by 10%
Julie
Data Scientist
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How to Train and Deploy Custom Models with Amazon SageMaker - Part 1
Training a Computer Vision Model on AWS using Tensorflow, Docker and Amazon SageMaker.
Maria
Data Scientist
3 Reasons Why We Are Far From Achieving Artificial General Intelligence
How far we are from achieving Artificial General Intelligence? We answer this through the study of three limitations of current machine learning.
Etienne
Data Scientist
Introducing tf-explain, Interpretability for TensorFlow 2.0
A Tensorflow 2.0 library for deep learning model interpretability.
Raphaël
Data Scientist
Deep Learning Memory Usage and Pytorch Optimization Tricks
Understanding memory usage in deep learning models training
Quentin
Data Scientist
Determine Your Network Hyperparameters With Bayesian Optimization
Why and how Bayesian Optimization can be used for hyperparameters tuning
Julie
Data Scientist
TensorFlow 2.0 Tutorial : Optimizing Training Time Performance
Tricks to improve TensorFlow training time with tf.data pipeline optimizations, mixed precision training and multi-GPU strategies
Raphaël
Data Scientist
Interpretability of Deep Learning Models with Tensorflow 2.0
An introduction to interpretability methods to ease neural network training monitoring.
Raphaël
Data Scientist
Fast Custom KNN in Sklearn Using Cython
Let’s dive into how you can implement a fast custom KNN in Scikit-learn.
Reda
Data Scientist
Introduction to Deep Q-learning with SynapticJS & ConvNetJS
An application to the Connect 4 game.
Alexandre
Data Scientist
Python: How to Train your Own Model with NLTK and Stanford NER Tagger?
This guide shows how to use NER tagging with NLTK and Standford NER tagger (Python).
Charles Bochet
Data Scientist
Naive Bayes Classification With Sklearn
This tutorial details Naive Bayes classifier algorithm, its principle, pros & cons, and provides an example using the Sklearn python Library.
Martin
Set up TensorFlow with Docker + GPU in Minutes
Why Docker is the best platform to use Tensorflow with a GPU.
Reda
Data Scientist
Optimize Response Time of your Machine Learning API in Production
This article demonstrates how building a smarter API serving Deep Learning models minimizes the response time.
Yannick
Lead Data Scientist
Was Darwin a Great Computer Scientist?
How evolution taught us the “genetic algorithm”.
Louis
Data Scientist
How To Build A Successful AI PoC
Turn Your Artificial Intelligence Ideas Into Working Software
Arnault
Data Scientist
Learn to Test Your Pyspark Project with Pytest — example-based Tutorial
In this tutorial, I will explain how to get started with test writing for your Spark project.
Irina
Data Scientist
How Does Your Computer Generate Random Numbers?
What you should know about numpy and pseudo random number generators (PRNG).
Tanguy
Data Scientist
How to Perform Fraud Detection with Personalized Page Rank
This article shows how to perform fraud detection with Graph Analysis.
Antoine
Data Scientist
NeurIPS (prev. NIPS) Papers Selection
My favorite research articles from NeurIPS (previously NIPS) 2018.
Félix
Data Scientist
Surgical Time Tracking in Python
How to profile your python code to improve performance
Antoine
Head of Science
