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Udacious_Recipes
Udacity-SLAM-Test
Loading-Image-Data
So going with my series of Pytorch projects, till now we've been working with fairly artificial datasets that we wouldn't typically be using in real projects. Instead, we'd likely be dealing with full-sized images like we'd get from smart phone cameras. In this notebook, we'll look at how to load images and use them to train neural networks.Image_Captioning
Facial_Keypoint_Detection
pate
Transfer-Learning-using-ImageNet
In this notebook, we'll Walk through how to use pre-trained networks to solved challenging problems in computer vision. Specifically, you'll use networks trained on ImageNet available from torchvision.Saving-and-Loading-Models
In this notebook I'll walk through a very preliminary yet important way on how save and load your models using PyTorch , to use them for future use and continue training them on new data.Landmark-Detection-Tracking-SLAM-
fashion-MNIST
classification of different Apparels, Shoes, Dresses etc that are a part of the fashion MNIST dataset : https://github.com/zalandoresearch/fashion-mnistMalaria-Blood-Sample-Classification
60daysofudacity
my progress and updates on Secure And Private AIdata
Malaria-Detection
60_days_of_udacity-NUTANIX-
MNIST-Classifier
An introduction to neural networks in python using py-torch, and a brief explanation of the Softmax function and Forward pass by Hand-Written Digit ClassificationInference-Validation-using-PyTorch
This is another notebook where I've walked through the concepts of Inference, Validation and Overfitting using Pytorchgenerate_faces
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