In a previous post, we took a closer look at Amazon Rekognition on Amazon Console; if you missed it, I strongly recommend going back and read it since we will follow pretty much the same way to tag images programmatically. In this post, we see how to create a serverless app and automatically tag newly …
I have been using PySpark for some time now and I thought to share with you the process of how I begin learning Spark, my experiences, problems I encountered, and how I solved them! You are more than welcome to suggest and/or request code snippets in the comments section below or at my twitter …
Indiana Jones diving into AWS Chalice Recently I got involved with a package called AWS Chalice. With this package, you can easily create serverless rest APIs using AWS Gateway and AWS Lambdas. It is easily maintainable and very, VERY easy to deploy to AWS. You can find the code of the post here. Now that …
In this post, we will see the Exploratory Data Analysis or EDA, but we are not going to use any models or feature extraction methods. Our main focus is on the data. In future posts, we’ll explore feature extraction methods and modeling. I consider myself lucky when at the beginning of the day, a dataset …
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 »
