Deep Learning Nanodegree Udacity

Take a look at my projects!

If you want to check all the practice notebooks I've done, you can look this folder Deep learning path.

Udacity Nanodegree program here.

Projects

Neural Networks

• Sentiment Analysis: implements a scratch neural network that is able to classify a movie review into negative or positive.

• Predicting bike sharing: use a scratch neural networks to predict the number of bikeshare users on given day.

Convolutional Neural Networks (CNN)

• Dog breed classifier: implements an image classifier for dog breeds using CNN.

Recurrent Neural Networks (RNN, LSTM)

• TV Script Generation: train a Recurrent Neural Network (LSTM) to generate scripts in the style of dialogue from Seinfeld.

Generative Adversarial Networks (GANs, DCGANs)

• Face Generation: use a DCGAN on the CelebA dataset to generate images of new and realistic human faces.

Deployment AWS SageMaker

• Deploying a Sentiment Analysis: use AWS SageMaker to build a sentiment analysis web app to classify a movie review into negative or positive.

Others projects:

• Digit classification (CNN): implements an digit classifier (0 to 9).
• Concrete crack (CNN): implements an image classifier for concrete cracks data.