Title: Distributed Neural Network Training and Prediction | Project page
Goal: Implement existing methods for distributed training of neural networks, including data parallelism and model parallelism.
To achieve this goal, I will utilize the HPCC environment to implement the following network models:
An RNN-based Video Captioning Model using Microsoft video description corpus data
A Generative Adversarial Network (DC-GAN) for image generation
A U-Net Model for doing pix2pix transformation. (wishlist)
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