A collection of projects introducing neural networks and data analysis concepts. From search and genetic algorithms to autoencoders and VAEs.
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Updated
Feb 26, 2024 - Python
A collection of projects introducing neural networks and data analysis concepts. From search and genetic algorithms to autoencoders and VAEs.
Image caption generator project is automatically describes images with coherent and relevant textual captions.
Using advanced deep learning techniques on the MNIST dataset. Over 98% validation set accuracy.
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
Deep Learning Library
Linear Regression SGD Optimization Implementation
Various applications of deep learning have been demonstrated.
This GAN implementation is designed to generate realistic images of digits using a generative and discriminative neural network architecture.
This is a tool for localizing objects in images.
Dimag, Nepali for the brain is an object-oriented neural network framework developed by me using python3.
3-layer linear neural network to classify the MNIST dataset using the TensorFlow
This code implements neural network from scratch without using any library
Deep-Learning-Optimization-Algorithms-Streamlit-Application
An AI agent for Pocket Tanks
Proyecto de machine learning que utiliza TensorFlow para predecir temperaturas en grados Fahrenheit a partir de temperaturas en grados Celsius. Incluye un script de Python para entrenar el modelo y realizar predicciones, así como datos de entrenamiento y visualizaciones
i have used 6 defect types which are common in pipeline defect detection.
Digit MNIST optimization classification project, our goal is to minimize the loss function using several optimizers
A repository for comparison of Adam and L-BFGS-B methods using coco benchmark.
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