Here are my ideas about AR : Firstly I think AR is here to help us in our daily but I also think it has to be intuitive and look cool in order to be use often. My first Idea would be a kind of augmented mirror. Let me explain that : as the textile industry is one of most polluting one, some companies are trying a new system using pre-orders and then the company produces a number of clothes wich corresponds to the number of pre-orders.

Lecture 10 : As you can see on the pictures I provided, Apple as well as Samsung have done pretty much the same innovations concerning the design of their smartphones. Firstly, and at the different of previous mobile phones, smartphones just had 3 maximum physical buttons at the bottom of their screen (without counting ones for the volume or the power). Then for the next generation the screen just got bigger (larger and longer), then this screen became borderless on his sides such as the Samsung galaxy s6 edge.

The main goal of this lab is to implement a model that is able to caption an image with a text that describes this image. There will be 5 parts for this lab: Dataset description and pre-processing Encoder: pre-trained CNN Decoder: LSTM and Encoder-Decoder model Training Interference Firstly, we describe our dataset: The one we use is COCO which is famous for object detection and image captioning. We will use here the 2014 version since it has 83k images for training, 41k for validation and 41k for test.

RNN What does RNN responds to? Nowadays, with FFNN we can respond to several types of problems, for instance it can handle a simple problem of sentiment determination in a phrase. Example: It can handle this problem since it only takes fixed sized vectors as inputs, this is why in this case it used a fixed sized window of one word but because of that, it can lead to wrong predictions especially when double negation is used in a sentence.

In this Topic I will present you my Unity game named Floor is Lava 2k20. The game is separated in 4 rooms. Here is the first one : This room is like a tutorial since it makes you understand that you need all collectibles in a room in order to remove the wall that is blocking you the access and that if you fall on the lava you respawn at the beginning of the zone.