Implementation of a series of Neural Network architectures in TensorFow 2.0

TensorFlow implementations of several deep learning models (e.g. variational autoencoder, RNN, ...)

A collection of notebooks with TensorFlow and the Keras API for various deep-learning and machine learning problems

Image Caption Generator implemented using Tensorflow and Keras in a Python Jupyter Notebook. The goal is to describe the content of an image by using a CNN and RNN.

In these notebooks the entire research and implementation process carried out for the construction of various machine learning models based on neural networks that are capable of predicting levels of solar radiation is captured given a set of historical data taken by meteorological stations.

Notebooks to better understand text generation

this repository contains a Colab notebook to classify the heart sound as normal or abnormal

My collection of ML notebooks

The notebook to my article in LinkedIn

Text prediction is a task that we use so often in our lives that we've taken it for granted. From the auto-fill feature in our messaging apps to search engines predicting search terms, text prediction technology saves our time and helps us to make our lives easier. It also links into other tasks such as text generation, which can eventually be u…

RNN_prediction notebooks with my code data analysis and observations

iPython notebooks for teaching and mishmash

A collection of notebooks containing Recursive Neural Network models trained on different datasets.

text classification, text to emotions notebook 🎨