Mastodon bot that generates the difference between things
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Updated
Dec 23, 2022 - C++
Mastodon bot that generates the difference between things
Grad-CAM implementation in TensorFlow JS.
Classification network for Tiny Imagenet in Tensorflow 2.0
A cannabis-trained DeepDream.
A Django-React web application that classifies images using the ResNet model.
WeightGrad: Geo-Distributed Data Analysis Using Quantization for Faster Convergence and Better Accuracy
Reverse Image Search project on a subset of the Image-Net dataset using pre-trained model weights
End-to-end Multiclass Dog Breed image classifier using TensorFlow 2.0
Single-machine and Horovod elastic distributed training of ImageNet using ResNet of Tensorflow 2.0.
Deep Learning Basics in Python
You Only Look Once: Unified, Real-Time Object Detection
A bunch of notebooks experimenting with Caffe, TF, Keras, PyTorch, etc.
improving generalization via scalable neighborhood component analysis
Train imagenet neuralnet with TensorFlow and Docker
Classification of images pertaining to the different backgrounds has been done with the help of a pre-trained VGG16 model and transfer learning technique.
The task of the assignment 4 is Transfer Learning using a CNN pretrained on IMAGENET.
In this project I built a model able to classify dog and cat images according to their breeds. I used the dataset from the Oxford Pets Kaggle competition, which consists of 7,349 training images and comprises 37 breeds of cats or dogs. I used Deep Learning, Computer Vision and Transfer Learning techniques.
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