A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

Grad-CAM implementation in TensorFlow JS.

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

Transfer learning using the Imagenet's weights.

Basic API for Imagenet Classification using Pytorch Densenet121 PreTrained Model

AlexNet is the name of a convolutional neural network which has had a large impact on the field of machine learning, specifically in the application of deep learning to machine vision. It famously won the 2012 ImageNet LSVRC-2012 competition by a large margin (15.3% VS 26.2% (second place) error rates). The network had a very similar architectur…

This project intends to replicate the AlexNet CNN network by strictly following the original paper.

Unofficial Pytorch implementation of the paper 'Improved Baselines with Momentum Contrastive Learning' experiment on ImageNet-1K

This Repository contains the model for predicting apple plant disease and based on the dataset, it can also predict other diseases.

Exploration and implementation of an inverse image search using transfer learning and nearest neighbors search.

A complete transformer implementation for images

Simple application of VGG16 for the recognition of images, obtained from LFW, of a limited number of famous(15) with good performance (greater than 80%)

A bunch of notebooks experimenting with Caffe, TF, Keras, PyTorch, etc.

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.