Accompanying notebook guides for the deep signal processing notes [TBA].

Essential topics of Signal Processing and their codes in python language in Jupyter Notebook.

Notebook and resources for https://predictiveprogrammer.com/convolution-and-variants/

Cómo cambia la exactitud de un modelo, al usar diferentes capas de convolución y modificar el número de épocas y baches

Notebook for learning deep learning

Notebooks from Andrew Ng's CNNs Course

Code snippets and notebooks used in PDS classes.

A collection of Jupyter notebooks containing various MNIST digit and fashion item classification implementations using fully-connected and convolutional neural networks (CNNs) built with TensorFlow and Keras. 2020.

In this repository we explore the resources of convolutional neural networks (CNN) to develop a model for handwritting images classification unsing Python and TensorFlow.

This repo contains a python notebook that explores what happens in the channel-by-channel convolution operation used in image processing vs. full convolution which is done over volumes of inputs inside convolutional layers in the ConvNets