UDACITY'S COURSE NLP PROJECT
• For a given review text, the network should predict if
it is a positive or negative review
• The idea behind these neural networks is by how the
positive and negative reviews use most of the time
similar words.
• Caveat: with a small update this network is capable
of showing similar and opposite words, for a given
word.

REACT WEB APP WITH DIFFERENT SORTING ALGORITHMS
• An website where the user can see how 5 differentsorting algorithms works
• It was coded QuickSort, HeapSort, Merge Sort,
BubbleSort and Counting Sort

REACT WEB APP WITH CONWAY'S GAME OF LIFE
• An website where the user can see how Conway’s
cellular automata works.

UDACITYS COURSE CNN PROJECT Given an image of a dog, The algorithm identify an estimate of the canines breed. Caveat, if supplied an image of a human, the code will identify the resembling dog breed.

In this project, the goal was to develop a neural network with Izikevich's artificial neuron, to solve the correlational categorization problem. However, the network would receive the inputs at different times, during the same time window

CNN FOR PLAYING THE SNAKE GAME
• A Processing program, with a CNN
• The network contains 24 entries (8 Directions X 3
stimuli).
• For each direction the snake receives one stimulus
(1/0), if for that direction it can see its on body, the
food or wall