Tag - MNIST

37 Reasons why your Neural Network is not working

Over the course of many debugging sessions, I’ve compiled my experience along with the best ideas around in this handy list. I hope they would be useful to you. comments By Slav Ivanov, Entrepreneur & ML Practitioner. The network had been training fo...

An Introduction to t-SNE with Python Example

In this post we’ll give an introduction to the exploratory and visualization t-SNE algorithm. t-SNE is a powerful dimension reduction and visualization technique used on high dimensional data. comments By Andre Violante, __data scientist, allows me t...

Artificial Neural Networks (ANN) Introduction, Part 1

This intro to ANNs will look at how we can train an algorithm to recognize images of handwritten digits. We will be using the images from the famous MNIST (Mixed National Institute of Standards and Technology) database. By Kenneth Soo, Stanford. Take...

Building a Basic Keras Neural Network Sequential Model

The approach basically coincides with Chollet's Keras 4 step workflow, which he outlines in his book "Deep Learning with Python," using the MNIST dataset, and the model built is a Sequential network of Dense layers. A building block for additional po...

Generative Adversarial Network

Automatic feature engineering using Generative Adversarial Networks Application to computer vision and synthetic financial transactions data The purpose of deep learning is to learn a representation of high dimensional and noisy data using a sequence...

Is ReLU After Sigmoid Bad?

Recently [we] were analyzing how different activation functions interact among themselves, and we found that using relu after sigmoid in the last two layers worsens the performance of the model. comments By Nishant Nikhil, IIT Kharagpur There was a r...

KDnuggets New sequence learning data set

A new data set for the study of sequence learning algorithms is available as of today. The data set consists of pen stroke sequences that represent handwritten digits, and was created based on the MNIST handwritten digit data set. By Dr. Edwin D. de...

Neural Networks: Innumerable Architectures, One Fundamental Idea

At the end of this post, you’ll be able to implement a neural network to identify handwritten digits using the MNIST dataset and have a rough time idea about how to build your own neural networks. By Raksham Pandey, Vivekanand Education Society's Ins...

TensorFlow Tutorial – Simple Linear Model

In this excellent tutorial video presentation below, Magnus Erik Hvass Pedersen demonstrates the basic workflow of using TensorFlow with a simple linear model. After loading the so-called MNIST data-set with images of hand-written digits, he defines...