Why you can’t truly create Rosenblatt’s Perceptron with Keras
…and what to do about it! It was January 1957 when a report was released by Cornell Aeronautical Laboratory. It...
Linking maths and intuition: Rosenblatt’s Perceptron in Python
According to Wikipedia, Frank Rosenblatt is an “American psychologist notable in the field of artificial intelligence”. And notable, he is....
Commoditizing AI? The state of automated machine learning.
It cannot go unnoticed that machine learning has been quite the hype these past few years. AI programs at universities...
CNNs and feature extraction? The curse of data sparsity.
I recently finished work on my master’s thesis in which I investigated how the process of mapping underground utilities such...
Can neural networks approximate mathematical functions?
In the paper Multilayer feedforward networks are universal approximators written by Kurt Hornik, Maxwell Stinchcombe and Halbert White in 1989,...
This Person Does Not Exist – how does it work?
In the news recently: the website This Person Does Not Exist. This website does nothing else than showing you a...
Why you shouldn’t use a linear activation function
In today’s deep learning community, three activation functions are commonly used: the sigmoid function, the tanh function and the Rectified...
Could chaotic neurons reduce machine learning data hunger?
This week, I found a very interesting work on Arxiv that was published only a short while ago. It’s called...
Using EarlyStopping and ModelCheckpoint with TensorFlow 2 and Keras
Training a neural network can take a lot of time. In some cases, especially with very deep architectures trained on...
Why Swish could perform better than ReLu
Neural networks are composed of various layers of neurons. Mathematically, a neuron is nothing but the dot product between the...
