I first played with GPT-2 back in 2019, when OpenAI released the 1558M parameter model and the whole NLP world lost its mind. I ran it in a Colab notebook, typed in a prompt about Montevideo, and watched it hallucinate streets that don't exist. It was messy, it
Here I'm gonna describe the best way I've found to run YoloV5 training and inference. First of all my machine has an RTX 3060 so I had to do some changes to the YoloV5 dockerfile. The following is a Dockerfile that should work with RTX 3000
Hi there, it's been a while from the last time a posted something. Recently, during the last Easter holiday I was playing with Generative Adversarial Networks, a type of neural networks used to produce new data. Basically a GAN is composed by 2 networks: a generator and a
'm posting here the link of a colab notebook with the test for the new GPT-2 model released by openAI https://colab.research.google.com/drive/19Yha3-EtYxumOInqaZkTm1c7nCD7ZlYk#scrollTo=cMes5yRQuXs4
GPT2 is a model developed by OpenAI for NLP. The model is composed by a transformer architecture as shown in the picture below. Luckily for us the dudes at Huggingface have releases a pretrained version and implementation of this model ... and many other type of transformer models. https://huggingface.co/
Recently I moved to Uruguay, Montevideo. Here I found an active community of developers, yesterday I had a chance of giving a talk at the AngularMVD meetup. Even though it has been ages from the last time I developed an Angular app the talk was about how to use tensorflow.
Transfer learning is a popular approach used in machine learning where a model trained on a task is re-purpose a model designed for a different task. Therefore the definition of Transfer Learning is the following. Given a source domain D(s) and learning task T(s), a target domain D(
Here is a simple tutorial on how to use the mobilenet model released by google with tensorflow-js. This tutorial requires node v >10 and the parcel bundler. To install node use nvm https://github.com/nvm-sh/nvm and to install parcel just run npm -i g parcel-bundler step 1
Tensorflow is the defacto standard for building advanced neural networks of any kind. Natively tensorflow is a python library and gives to the user a framework that simplifies operation with tensors. A tensor is a mathematical object analogous to but more general than a vector, represented by an array of
Playing with models released for tensorflow js. Posenet is a neural network that allows the estimation of a human pose from an image. For more technical information about how it actually works refer to this blog post https://medium.com/tensorflow/real-time-human-pose-estimation-in-the-browser-with-tensorflow-js-7dd0bc881cd5 import * as posenet from "@tensorflow-models/posenet"