Mathematics for Deep Learning (Part 7)In the road so far, we have talked about MLP, CNN, and RNN architectures. These are discriminative models, that is models that can make…Mar 30, 20221Mar 30, 20221
Mathematics for Deep Learning (Part 6)Welcome back! we already talk about MLP and CNN.Mar 23, 2022Mar 23, 2022
Mathematics for Deep Learning (Part 5)Let’s talk about one of the most well-known neural networks architectures: Convolution Neural Network (CNN). This type of network is great…Mar 16, 2022Mar 16, 2022
Mathematics for Deep Learning (Parte 4)Welcome back, folks! This time we are going to talk about regularization. What’s it? And why it’s important?Mar 9, 2022Mar 9, 2022
Mathematics for Deep Learning (Part 3)In the last post, we saw the mathematical model of a neuron and one type of neural network: the Multi-Layer Perceptron (MLP). I mentioned…Mar 3, 20221Mar 3, 20221
Mathematics for Deep Learning (Part 2)Let’s continue the review of the book “Hands-On Mathematics for Deep Learning”. In the first post I wrote an overview of the first section…Feb 22, 20222Feb 22, 20222
Mathematics for Deep Learning (Part 1)I started my journey to learn Data Science and Machine Learning after my PhD. I have a PhD in Pure Mathematics and I become interested in…Feb 15, 20222Feb 15, 20222
