Udacity Deep Learning Nanodegree projects
This repository covers all projects done and submitting during the Deep Learning Nanaodegree from Udacity.
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Basics of neural networks Building a multilayer perceptron and learnt on how to feedforward and backpropagate a model. Predict bike-sharing pattern
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Convolutional neural networks Applying transfer learning to build an app that classify a dog breeds by using human and dog data.
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Recurrent neural networks Using Long-Short term momory (LSTM) to generate a new TV scripts
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Generative Adversarial Networks Using Deep Convolutional Generative Adversarial Networks to generate new faces from Hollywood celebrities.
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Amazon SageMaker model deployment Deploy the model to amazon sagemaker. More info, please refer to this repo https://github.com/FairozaAmira/SageMaker-Project.
Python 3.0 and above
Jupyter notebook
Pytorch
NumPy, Pandas, OpenCv