Develope a CNN-GRU model to Predict Land cover
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Updated
Jul 22, 2024 - Jupyter Notebook
Develope a CNN-GRU model to Predict Land cover
deep-learning machine-learning
Heart Failure Management System
An AI-powered image caption generator using deep learning techniques to automatically generate descriptive captions for images. Utilizes CNNs for feature extraction and RNNs for sequence prediction.
A deep learning project for automated chorus detection in songs, featuring a command-line interface (CLI) tool that allows users to input a YouTube link and utilize a pre-trained CRNN model to detect chorus sections from a song on YouTube
This repository hosts all my projects done in the domain of RNN
Exploring machine learning through diverse computer vision projects. Specializing in neural networks, CNNs, and algorithms. Projects include Human Detection, Face Recognition, and more. Experienced in data augmentation.
UcanCme: Swimmer Position Estimation Using RNN-LSTM Based on Sensor Data (NO GPS)
Speech recognition project that can, recognize the Arabic language, differentiate between speakers, isolate the speech, and more.
speech to text Conversion Using RNN and CNN
NLP bacsic
Developed an LSTM model to generate text, mimicking the style of Nietzsche's writings
Beginner Friendly CheatCodes
Deep Learning Practises
Generate Lyrics Using RNN.
Developed a state-of-the-art text generation model leveraging machine learning techniques to autonomously produce coherent and contextually relevant textual content.
Contains all course modules, exercises and notes of ML Specialization by Andrew Ng, Stanford Un. and DeepLearning.ai in Coursera
The project provides RNN-based Sentiment Analysis of Twitter Responses to 'The Social Dilemma' Documentary
Python script for training a Simple RNN model on cryptocurrency price data to predict future prices, including data exploration and evaluation
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