How user testing can make your product great
Get your product into the hands of test users and you'll walk away with valuable insights that could make the difference between success and failure.
I'm seeking a high-level Deep Learning Engineer to help classify CIFAR100 images. The ultimate goal is a strong position on the Kaggle leaderboard. Key project requirements: - Model Optimization: The model should prioritize achieving the highest accuracy while minimizing parameters and FLOPs. This requires a deep understanding of model complexity and performance trade-offs. - Advanced Data Augmentation Techniques: The use of advanced data augmentation techniques is crucial. Specifically, I want to utilize methods like Cutout or Mixup to enhance the model's robustness and generalization capabilities. - Convolutional Neural Network (CNN): The model should be based on a Convolutional Neural Network (CNN). Therefore, deep expertise in designing, implementing, and fine-tuning CNNs is...
Get your product into the hands of test users and you'll walk away with valuable insights that could make the difference between success and failure.
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