prediction of an absolute temperature on the surface of a star using neural networks

Neural networks

Deep learning Simple models

Uses deep learning in Python with Keras, Pandas, Numpy, Tensorflow, ScIkit-Learn libraries.

batch_normalization through PyTorch

Demonstrate how to do backpropagation using an example of BatchNorm-Sigmoid-MSELoss network with a detailed derivation of gradients and custom implementations.

Deep Learning models

ba

Code to fold batch norm layer of a DNN model in pytorch

Cats vs dogs classification using deep learning. Data augmentation and convolutional neural networks.

Skin cancer can be broadly classified into two major categories: Melanoma (Malignant) and non-melanoma (Benign). Melanoma is one of the deadliest kinds of cancer. However, the detection of this cancer at an early stage can help in improving the chances of survival.

Developing deep learning models with only numpy and panda and without using high level libraries such as Tensorflow, Keras and PyTorch

This GitHub repository aims to provide comprehensive overview of the evolution of GoogLeNet, a popular Convolutional Neural Network architecture developed by Researchers at Google for image classification tasks.

Model Optimization using Batch Normalization and Dropout Techniques

Exoplanet Hunting in Deep Space.

Image classifiaction done on cifar 10 using deep learning (CNN)

Fundamentals of Artificial Intelligence and Deep Learning Frameworks

This project aims to develop an advanced DL model using CNN to accurately detect and classify brain tumors from MRI scans.

This repository contains my project for computer vision.

Charts and Fake image (OCR on Charts)