Location: Bergamo (/Milan), Italy
Remote: Preferred
Willing to relocate: No
Technologies: Python, C/C++, Java, computer vision, deep learning
Résumé/CV: https://drive.google.com/open?id=0B8T8Fw0kS2GbS1ZRSklBdktRYUU
Email: ciriello.daniele/gmail
Github: http://github.com/dnlcrl
Linkedin: http://linkedin.com/in/dnlcrl
Blog: http://dnlcrl.github.io
Twitter: http://twitter.com/dnlcrl
I am 28 years old and I pursued a master's degree in computer engineering on June, I wrote my master thesis about convolutional neural networks for image classification, building a simple pythonic deep learning framework (http://github.com/dnlcrl/PyFunt) and the residual model proposed by MSRA in the ILSVRC 2015 (https://github.com/dnlcrl/deep-residual-networks-pyfunt), I also trained the model on simple datasets like MNIST and CIFAR-10 obtaining very promising results. Now I am continuing the development of PyFunt in order to implement new models proposed during this year.
I am looking for a computer vision/machine learning/python related position, near Milan or remote.
I think the problem here is that many people now use the practice to follow people and than mute them, so their tweets doesn't get shown in the feed (or he doesn't get notified if they like/retweet/comment them). So a person which officially follows millions of people could have muted them all and his feed is always empty. In my opinion is a good idea though.
The same happened to me, I woke up this morning with invites from #testing, EmberJS and Slack Developer Hangout. I would really like to know why I got invited to join these groups
"Service Issue (18 minutes ago):
Some users are currently experiencing problems accessing Twitter. We are aware of the issue and are working towards a resolution."[1](http://twitterstatus.tumblr.com/)
I am 28 years old and I pursued a master's degree in computer engineering on June, I wrote my master thesis about convolutional neural networks for image classification, building a simple pythonic deep learning framework (http://github.com/dnlcrl/PyFunt) and the residual model proposed by MSRA in the ILSVRC 2015 (https://github.com/dnlcrl/deep-residual-networks-pyfunt), I also trained the model on simple datasets like MNIST and CIFAR-10 obtaining very promising results. Now I am continuing the development of PyFunt in order to implement new models proposed during this year.
I am looking for a computer vision/machine learning/python related position, near Milan or remote.