ABAymen Berricheinaymene.hashnode.dev·Dec 31, 2021 · 10 min readWelcome Day Platform, How we've built it?We, the Algiers chapter of Google Developer Groups, used to have an annual meetup where we introduce people to our community, our values and the cool things we do... a meetup that was usually held in person, in front of the university students, but i...01S
ABAymen Berricheinaymene.hashnode.dev·Oct 30, 2021 · 7 min readDevFest 21 Hackathon : The complete AI toolkitDevFest is coming this year with its typical main activity...The Hackathon, and what's better than building ingenious AI solutions to our daily life problems (more details will be given about the hackathon sub-themes). In the hackathon you'll be as...00
ABAymen Berricheinaymene.hashnode.dev·Oct 17, 2021 · 3 min readComputer Vision Problems : Building a multi-label classifier using PASCAL datasetMulti-Label Classification The field of computer vision includes a set of main problems such as image classification, localisation, image segmentation and object detection. Among these, image classification can be considered as the fundamental probl...00
ABAymen Berricheinaymene.hashnode.dev·Oct 17, 2021 · 3 min readDeep Intuition about Image Classification : Building a Pet breeds classifierPet Breeds classification this task is actually more challenging than the cat/dog example. #download the dataset from fastbook import * path = untar_data(URLs.PETS) pets = DataBlock(blocks=(ImageBlock, CategoryBlock), get_items=get_image_files, ...00
ABAymen Berricheinaymene.hashnode.dev·Oct 17, 2021 · 3 min readUnderstanding fastai's Applications: Digit classifier using fastai framework.Chapter 4 : Under the Hood : Training a Digit Classifier. First, let's try to build a classifier that could classify any image as a 3 or 7. #get our sample MNIST data path = untar_data(URLs.MNIST_SAMPLE) Path.BASE_PATH = path #get the threes and seve...00
