IOE 310 Introduction To Optimization Methods
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The goal of this IOE 310 Introduction to Optimization Methods course is to provide learners basic understanding of recent neural networks and their applications in laptop vision and linguistic communication understanding. The course starts with a recap of linear models and a discussion of random optimization strategies that are crucial for coaching deep neural networks. Learners can study all common building blocks of neural networks as well as totally connected layers, convolution and repeated layers. Learners can use these building blocks to outline complicated, fashionable architectures in Tensor Flow and Keras frameworks. Within the course project, learner can implement a deep neural network for the task of image captioning that solves the matter of giving a text description for AN input image.
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