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The goal of this project is to ensure collision-free navigation of a mobile robot. Therefore evolutionary algorithms are used to evolve the weights of an RNN. For this process, the neural networks that performed best in previous generations are used as parents for the next generation. The neural network itself receives as input the sensor data o…
Developed a Chatbot using Python that holds conversation about world news with a human user by applying Neural conversional model ( Seq2Seq ), which consists of 2 LSTM RNN model. The news data was collected from Reddit.com (r/worldnews). Libraries such as Torch , NumPy and Matplotlib were used.
Achilles Mila Deep Neural Network library provides an API to model, train and evaluate Recurrent Neural Networks. Mila utilizes the NVIDIA CUDA runtime and the CuDNN library for high-performance GPU acceleration.