GoogleNet, was the winner of this edition, introducing a new module: Inception. Overfeat, also released this year, presents another extension of AlexNet including an algorithm that learns to create the bounding boxes around the objects, for detection and classification. ZFNet, the ILSVRC 2013 winner, is basically a new version of AlexNet, adjusting the number of hyper-parameters by increasing the size of the convolutional layers, and reducing the stride / filter size for the first layer. It also introduced the use of ReLU as activation function, dropouts to avoid the overfitting, and max-pooling layers instead of simple pooling. Its architecture is very similar to LeNet (introduced by LeCun in the 1990s for hand-written patterns recognition), but is a larger and more complex network, able to learn complex objects using 5 convolutional layers. ILSVRC Challenge results 2012Īlexnet, released by Alex Krizhevsky, popularized CNN in computer vision. Let’s introduce them and their main characteristics briefly. We need only look at the results of the ILSVRC challenge: since 2012, all the winners are CNN! Without going into the details of their architecture (a whole blog post would be relevant enough for that), the main improvement we can notice is mainly their deepness. Prior to being archived, the post garnered upwards of 700 up votes and 20 comments.In the last decade, deep Convolutional Neural Networks have consistently been achieving state-of-the-art performance in object recognition tasks, including classification, detection and segmentation. On April 22nd, 2012, Redditor OCDTrigger submitted a post titled 'We need to do deeper' to the /r/pics subreddit, featuring a photograph of several laptops on a bed with desktop backgrounds matching each successive computer (shown below). On June 2nd, the Internet humor blog Smosh highlighted several vertical Inception comics, several of which featured jokes using the phrase 'we need to go deeper' (shown below, right). Within three years, the post received more than 32,000 views and 980 up votes. On January 16th, 2011, FunnyJunk user inq submitted a vertical comic joking that Cobb should 'go deeper' to sexually satisfy his girlfriend (shown below, left). On November 14th, the phrase was used in a 4chan thread in response to a post questioning the possibility of the universe being a simulation (shown below). On July 27th, 2010, the Xzibit comic was featured on the viral content site BuzzFeed and the Internet news blog Geekosystem. Prior to being archived, the post received over 1,300 up votes and 140 comments.

On July 20th, Redditor YoungCleanLegitSon submitted a post to the /r/pics subreddit, featuring a vertical comic with an Xzibit Yo Dawg image macro followed by a screen capture of Cobb with the caption 'We need to go deeper' (shown below). The film was originally released in theaters on July 8th, 2010. The phrase was first uttered in a scene from the science fiction film Inception in which the character Dom Cobb (played by Leonardo DiCaprio) speaks to Robert Fischer (played by Cillian Murphy) about planting a thought inside someone's mind. The phrase can indicate that further investigation is needed but can also be used to point out examples of recursion, in a similar vein to the Xzibit Yo Dawg image macro series. 'We Need To Go Deeper' is an expression from the film Inception which is often featured in image macros and vertical multi-panes using screen captures from the movie. To, go, need, we, inception, we need to go deeper, ìnception, deeper, ception About

Blitz we need to go deeper