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Computer Vision Nanodegree second project, generating image captions. We take a prebuilt Resnet CNN model to encode the image and captions, use the RNN with LSTM to train and decode images and predict captions
The goal of this project is to perform Lake Thermal Stratification Modelling and to explore and experiment not only the physics-guided deep learning models proposed in Read et al (2019) and Jia et al (2019), but also our own models. We shall also benchmark our models with the ones in the base papers in order to compare our results, evaluations a…
A character-level RNN reads words as a series of characters - outputting a prediction and “hidden state” at each step, feeding its previous hidden state into each next step. We take the final prediction to be the output, i.e. which class the word belongs to.
In this exercise, we will focus on three main topics for non-Deep Learning analysis and Deep Learning. The datasets are including Adult dataset, Spooky Author dataset and Sentiment Analysis dataset (IMDb+Amazon+Yelp).