keras-tensorflow

🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.

Introduction to Deep Neural Networks with Keras and Tensorflow

Deep neural network to extract intelligent information from invoice documents.

🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱

Technical and sentiment analysis to predict the stock market with machine learning models based on historical time series data and news article sentiment collected using APIs and web scraping.

A collection of Audio and Speech pre-trained models.

This project provides implementations with Keras/Tensorflow of some deep learning algorithms for Multivariate Time Series Forecasting: Transformers, Recurrent neural networks (LSTM and GRU), Convolutional neural networks, Multi-layer perceptron

Artificial intelligence/machine learning course at UCF in Spring 2020 (Fall 2019 and Spring 2019)

Text Classification in Turkish Texts with Bert

Flood detection from images using deep learning. Deep learning library KERAS was employed and MobileNet architecture was fine-tuned for image classification task.

MinimalGPT is a concise, adaptable, and streamlined code framework that encompasses the essential components necessary for the construction, training, inference, and fine-tuning of the GPT model. This framework is implemented exclusively using Keras and TensorFlow, ensuring compatibility and coherence within the broader deep learning ecosystem.

This repository reports how to build a speech to text model to recognize short commands. Best of all, developing and including speech recognition in a Python project using Keras is really simple.

Breast cancer classification from Mammogram images using Deep CNN with Keras and TensorFlow.