Cat vs Dog vs Panda Image Classification using CNN and ANN
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Updated
Apr 4, 2020 - Python
Cat vs Dog vs Panda Image Classification using CNN and ANN
This project is about classifying the mnist dataset on ANN and CNN Deep Learning models.
Simple automated feed-forward artificial neural network.
Keras for Tensorflow 2023
A Streamlit app to predict Employee Churn
This code sets up and trains a GAN to generate artwork images using Keras and TensorFlow, defining and compiling discriminator and generator networks, and saving results.
Building an Artificial Neural Network for Predicting Business Problem.
A repository containing codes from Machine Learning (CII3C3) Case Based 1: Supervised Learning.
The project is a neural network-based fashion recommendation system built using Python. The model used for this system is Resnet50, which is a deep learning model used for image recognition. The data used for training the model is scraped from Flipkart, with a total of 65,000 images.
Advance Deep learning with Model Implementation ANN && CNN (working.....)
The project revolves around the development of a user-friendly web interface system. This system aims to facilitate malware identification by allowing users to upload CSV files for analysis. The PE data within these files will be analyzed using a predefined data set, generating predictions to determine whether the file is malicious or not.
Analysis of spectra using ANN autoencoders
deep_learning_bot_to_help_u_do_your_research_a_lot_faster
Creating simple ANN with the help of Keras library for binary-classification
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