At re:Invent 2018 a few new amazing features for Lambda were announced. One of them was the Layers. Layers let you keep your deployment package small, which makes development easier. You can avoid errors that can occur when you install and package dependencies with your function code. For Node.js, Python, and Ruby functions, you can develop …
I was thinking of creating a series, instead of individual posts, for Deep Learning projects, for some time now and I concluded that they are more lightheaded and easy to follow, so here I am! In this series, we are going to create a chatbot using Keras and SageMaker. I will try to explain the …
A Simsons Chatbot (Keras and SageMaker) – Part 1: Introduction Read More »
Recently, I got addicted to Kaggle and I started playing with all kinds of competitions. My first one it was the default (way to go) on Deep Learning. None other than the classifying handwritten digits using the MNIST dataset. I managed to hit a good 99.1% accuracy in the validation round! I figured to share …
Recently, I purchased the book Machine Learning with Python Cookbook by Chris Albon (@chrisalbon). I finished it in one week, while I followed each piece of code on my computer. In this post, I will review this book and at the end, I will conclude with my proposition to buy or not to buy. Contents …
In today’s post, I am going to show you how you can use Amazon’s SageMaker to classify images from the CIFAR-10 dataset using Keras with MXNet backend. For this tutorial, you do not need the GPU version of Tensorflow. This tutorial is a continuation of my previous one, Convolutional NN with Keras Tensorflow on CIFAR-10 Dataset, …
In today’s post, I am going to show you how to create a Convolutional Neural Network (CNN) to classify images from the dataset CIFAR-10. This tutorial is the backbone to the next one, Image Classification with Keras and SageMaker. This post mainly shows you how to prepare your custom dataset to be acceptable by Keras. …
Convolutional NN with Keras Tensorflow on CIFAR-10 Dataset, Image Classification Read More »
This time of the year has come! Pycon 2018 just took place at Cleaveland, Ohio at 9-17 May. It was an amazing conference with a lot of new and revised ideas! Recently I’ve noticed a tweet from Python Software with all the videos from PyCon, thanks to my friend @mpetyx who also wrote an amazing article, Third Week …
I think it is finally time to create a schedule for the blog. From now on, I will try to post at least three articles per month and give you an insight into what I have learned the past few weeks. The past month I got involved in some really interesting stuff throughout my work …
For the past few months, I am working on a project and the time for the official release is coming closer and closer. I and my colleagues had put a lot of thought and work into it, in order to provide the best possible experience to the consumer. So, I came up with the idea …
An Introduction to Sentiment Analysis with Python Read More »
In this blog post, we are going to talk about preprocessing in order to have a robust dataset for our model. When we are given a dataset, it is really important to understand it and by understanding, I mean to find the key features. This is not always the case, because we may have a …
