Чем предстоит заниматься
Design, implement, and iterate on neural network architectures using PyTorch to achieve optimal performance on diverse tasks
Train, validate, and fine-tune machine learning models using relevant datasets to ensure high accuracy and robustness
Investigate and troubleshoot model performance issues, and iterate on models and techniques to continuously improve results
Analyze how models map onto the client's devices through compilation steps and kernels
Identify gaps in functionality and performance, and propose innovative solutions to mitigate any issues
Deploy neural networks for various applications across different environments