This project focuses on automatic image caption generation, leveraging advanced deep learning techniques to create descriptive captions for images. The Jupyter Notebook provided in the repository demonstrates the implementation of a neural network model designed to analyze and interpret the content of images.

The Stock Market Prediction Model uses TensorFlow to predict stock prices. It's trained on Google price data and can be customized with other company data for personalized predictions. The project includes a single Jupyter Notebook with code for preprocessing, model training, and prediction.

RNN(SimpleRNN, LSTM, GRU) Tensorflow2.0 & Keras Notebooks (Workshop materials)

This collection of notebooks is based on the Dive into Deep Learning Book. All of the notes are written in Pytorch and the d2l/torch library

A series of hands-on notebooks for beginners in neural networks. [To be updated]

This is a learning notebook for RNN, LSTM and GRU

This repository contains a Jupyter Notebook that compares the performance of Convolutional Neural Network (CNN) and Recurrent Neural Network (RNN) architectures for image classification tasks using the Fashion MNIST dataset. The notebook explores the process of training CNN and RNN models

This repository contains a compilation of my Python projects and notebooks focusing on Machine Learning and Deep Learning.

This repository consists of sample notebook which can take you through the basic deep learning excersises in Tensorflow and Pytorch

Notes & Code to go over "Grokking Deep Learning" Book by Andrew Trask

This repository consists of notebook, backtesting logs and dataset along with the Problem Statement. This is was our approach to KDSH 2024 by Zelts Labs

Learned knowledge and techniques in Natural Language Processing and also related tools: Python, Pytorch, Jupyter Notebook, Google Colab, RNN, CNN, Reinforcement Learning, LSTM, Language Modeling

Notebooks pour le cours Deep Learning de zéro à la certification Tensorflow

Pytorch Tutorial Notebooks

This is a full stack end to end project with the model trained in jupyter notebook, the backend file written in python, and for simplicity, the frontend created using streamlit.

🚀 Unveiling Stock Market Insights with RNNs: A concise exploration of LSTM and GRU models for stock price prediction, featuring a research paper and Jupyter Notebook. 💹📈

text classification, text to emotions notebook 🎨

This repository contains a collection of notebooks detailing a machine learning project for predicting Bitcoin prices. The project utilizes LSTM and RNN models trained on Bitcoin prices, technical indicators, and on-chain metrics.

Small projects I've done over the years, including notebooks from online courses that I took on Coursera/Udacity/Udemy.

Notebooks for "AI 응용-음성"