Keras

In this Machine Learning Capstone course, you will be using various Python-based machine learning libraries such as Pandas, scikit-learn, Tensorflow/Keras, to: build a course recommender system; analyze course related datasets, calculate cosine similarity, and create a similarity matrix; create recommendation systems by applying your knowledge of KNN, PCA, and [...]

Learn about the main components of the encoder-decoder architecture and how to train and serve these models. This course gives you a synopsis of the encoder-decoder architecture, which is a powerful and prevalent machine learning architecture for sequence-to-sequence tasks such as machine translation, text summarization, and question [...]

En este curso aprenderás que es una red neuronal, como crear una red neuronal, entrenar una red neuronal con un conjunto de imágenes. Deep learning es un área de reciente creación con una enorme popularidad. Deep learning busca el aprendizaje a partir de grandes volúmenes de datos y con [...]

In this 2-hour-long guided project, we will use an efficient net model and train it on a Brain MRI dataset. This dataset has more than 3000 Brain MRI scans which are categorized in four classes - Glioma Tumor, Meningioma Tumor, Pituitary Tumor and No Tumor. Our objective in this [...]

Learn how deep learning algorithms can be used to solve important engineering problems. This 3-credit-hour, 16-week course covers the fundamentals of deep learning. Students will gain a principled understanding of the motivation, justification, and design considerations of the deep neural network approach to machine learning and will complete hands-on [...]