AlexNet Performance Analysis : Impact of Batch Normalization on Imagenette.

Built a GAN using TensorFlow to generate handwritten digits from the MNIST dataset. Implemented a custom generator, discriminator, training loop, loss functions, and checkpointing, with image generation and GIF animation to visualize model progress across epochs.

I have trained a CNN model on Dog and Cat Image dataset. This model predicts whether the given image is of Cat or Dog.

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

Brain Tumor Detection using EfficientNetB3-based Deep Learning model. The project leverages transfer learning on MRI brain scan images to classify and detect brain tumors with high accuracy. Includes full workflow: data preprocessing, image augmentation, model building, evaluation, and deployment.

Cancer detection using CNN leverages deep learning to automatically identify cancerous patterns in medical images with high accuracy.

Applyed regularization techniques to improvise the performance of VAE Model such as L1/L2 Regularization (Weight Decay), Dropout, Batch Normalization, Beta-VAE (Modified KL Divergence Term), Data Augmentation

PyTorch module FLOPS counter

This project implements a Convolutional Neural Network (CNN) to classify images from the CIFAR-10 dataset, which consists of 60,000 32x32 color images across 10 classes: airplane, automobile, bird, cat, deer, dog, frog, horse, ship, and truck.

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.

Exoplanet Hunting in Deep Space.

Tomato Leaf Disease Detection:Deep Learning Project

Pistachios are nutritious nuts that are sorted based on the shape of their shell into two categories: Open mouth and Closed mouth. The open-mouth pistachios are higher in price, value, and demand than the closed-mouth pistachios. Because of these differences, it is considerable for production companies to precisely count the number of each kind.

batch_normalization through PyTorch

Model Optimization using Batch Normalization and Dropout Techniques

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

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

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