A face recognition system, built with Keras
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Updated
Sep 22, 2018 - Jupyter Notebook
A face recognition system, built with Keras
CNN network implemented using the Pytorch Framework from the scratch for classifying the Fashion - MNIST data set, activation layer of RELU is used for the nolinearity and cross entropy for the final backward error propagation, for better visualisation Tensorboard is also incorporated which helped in fine tuning of the hyper params
This repository contains the code for the machine learning model which is used to detect whether a cell image is Parasitized or uninfected
Transformed raw text data into images with the help of Stanford developed GloVe word embeddings. Used with a custom designed ConvNet, in 1D.
This a machine learning application made using Django-framework for solving mathematical equations, handwritten by the user itself using a canvas. It utilizes a Convolutional Neural Network(CNN) model for recognizing the input text.
Classification CNN models
Collection of Coursera's Deep Neural Networks with PyTorch course by IBM labs notebooks.
Age classification using facial detection
CNN Classification Model to classify Species from the Orchid Flowers
Image Classification of 4 Categories of Corn Diseases Using CNN in TensorFlow and Keras, with the model deployed via a Flask API. The model accuracy is 95%.
Final project for Signal Processing course that focuses on Parkinson's Disease detection.
Image Caption Generator - Deep Learning
To create a Voice classification emotion recognition using an appropriate model and implement the same on the streamlit app
Demo showcasing Federated Learning with Flower for yoga pose classification, enabling collaborative training across distributed datasets while preserving data privacy.
Rule based chat-bot using CNN based on multi class text classification which responds to all queries on Deep Learning class. As a fallback option added generative chat-bot trained on cornell movie dialog corpus using sequence to sequence RNN model.
Use python tensorflow to implement some deep learning algorithm
object detection using the very powerful YOLO model
Did a project on Image Recognition using CNN model for identifying whether a person is suffering from pneumonia or not.
Code repository for understanding machine learning, covering theory, application and internal functionality of supervised, unsupervised and deep learning algorithms.
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