- visakhapatnam
- https://www.kaggle.com/venkatahemanthg
- in/hemanth-gv
Pinned Loading
-
Image-to-Speech-Generation_Encoder-Attention-Decoder
Image-to-Speech-Generation_Encoder-Attention-Decoder PublicThis project aims to assist visually impaired individuals by providing a solution to convert images into spoken language. Leveraging deep learning and natural language processing, the system proces…
Jupyter Notebook 2
-
Face-Mask-Detection---YOLO
Face-Mask-Detection---YOLO PublicLed development of custom YOLO-based object detector for precise face mask detection in images. Demonstrates expertise in computer vision, deep learning, AI, and image processing. Contributed to pa…
Jupyter Notebook 1
-
Chest-X-Ray-Effusion-Detection-using-CNN-ResNet
Chest-X-Ray-Effusion-Detection-using-CNN-ResNet PublicIn this X-ray classification assignment, we built a deep learning model to classify chest X-ray images into "nofinding" and "effusion" classes. We tackled challenges like data augmentation, imbalan…
Jupyter Notebook 1
-
Lead-Score-LogReg-ROC-Precision_Recall_Tradeoff
Lead-Score-LogReg-ROC-Precision_Recall_Tradeoff PublicForked from ApekshaU75/Lead-Score-Assignment
Lead Scoring is such a powerful metric when it comes to quantifying the lead & it is nowadays used by every CRM. In this repository, we are going to take a look at the UpGrad lead scoring case stud…
Jupyter Notebook
-
CNN--Image-Classification--Melanoma
CNN--Image-Classification--Melanoma PublicSkin Cancer Detection using CNN is a deep learning project that accurately detects melanoma. With a dataset of 2357 skin images, the model alerts dermatologists about melanoma presence, aiding in e…
Jupyter Notebook 2
-
CNN-Cats-vs-Dogs-Image-Augmentation-
CNN-Cats-vs-Dogs-Image-Augmentation- PublicThis project showcases a cats vs dogs image classification model using image augmentation and Keras. It employs deep learning and convolutional neural networks (CNNs) to accurately classify images …
Jupyter Notebook 1
If the problem persists, check the GitHub status page or contact support.