Image caption generator project is automatically describes images with coherent and relevant textual captions.
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Updated
Nov 25, 2023 - Python
Image caption generator project is automatically describes images with coherent and relevant textual captions.
A collection of projects introducing neural networks and data analysis concepts. From search and genetic algorithms to autoencoders and VAEs.
A Generative Adversarial Network for the generation of new synthetic art.
An AI agent for Pocket Tanks
Neural style transfer in PyTorch using the VGG-19 Pretrained model to create artistic style image
Deep Learning: CNN Model
Модуль 9. Підбір гіперпараметрів НМ. Глибоке навчання. Tensorflow. Keras.
This repository contains various tools of machine learning like the GRADIENT DESCENT and others, implemented from scratch using packages like numPy, matplotlib, pandas
Logistic Regression with different optimizers in Python from scratch
Using advanced deep learning techniques on the MNIST dataset. Over 98% validation set accuracy.
Our custom AI Pipeline on image classification for 2019 Chung-ang-University-hackathon.
Implement numerical optimization algorithms for data science.
Hand written digit recognition model done with MNIST dataset using tensorflow keras library. the model can detect the handwritten number and achieved 97% accuracy with 10000 data samples provided with MNIST
Using computer vision to determine the age of a customer, in order to stay compliant with alcohol laws
Built CNN model with different no. of layers with added dropout on MNIST data
Create a Deep Neural Network from Scratch using Python3.
Training a Wide Residual Network on the CIFAR - 10 dataset with a limit of 5 million on the number of trainable parameters.
Introduction to the Adam Optimizer with examples
I have used a reference dataset from TensorFlow. I have used different optimisers and epochs to check the prediction accuracy
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