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.
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.
Introducing tf-explain, Interpretability for TensorFlow 2.0
A Tensorflow 2.0 library for deep learning model interpretability.
Deep Learning Memory Usage and Pytorch Optimization Tricks
Understanding memory usage in deep learning models training
Determine Your Network Hyperparameters With Bayesian Optimization
Why and how Bayesian Optimization can be used for hyperparameters tuning
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
Interpretability of Deep Learning Models with Tensorflow 2.0
An introduction to interpretability methods to ease neural network training monitoring.
Fast Custom KNN in Sklearn Using Cython
Let’s dive into how you can implement a fast custom KNN in Scikit-learn.
Introduction to Deep Q-learning with SynapticJS & ConvNetJS
An application to the Connect 4 game.
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).
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.
Set up TensorFlow with Docker + GPU in Minutes
Why Docker is the best platform to use Tensorflow with a GPU.
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.
Was Darwin a Great Computer Scientist?
How evolution taught us the “genetic algorithm”.
How To Build A Successful AI PoC
Turn Your Artificial Intelligence Ideas Into Working Software
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.
How Does Your Computer Generate Random Numbers?
What you should know about numpy and pseudo random number generators (PRNG).
How to Perform Fraud Detection with Personalized Page Rank
This article shows how to perform fraud detection with Graph Analysis.
NeurIPS (prev. NIPS) Papers Selection
My favorite research articles from NeurIPS (previously NIPS) 2018.
Surgical Time Tracking in Python
How to profile your python code to improve performance