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Deep Learning Data Handling – TensorFlow
Experienced in handling and preprocessing data for deep learning models using TensorFlow.
Skilled with tf.data API for efficient data loading, batching, shuffling, and pipeline optimization.
Proficient in data preprocessing techniques such as normalization, resizing, encoding, and data cleaning.
Hands-on experience with data augmentation to reduce overfitting and improve model generalization.
Familiar with splitting datasets into training, validation, and testing sets.
Capable of handling large-scale datasets using caching, prefetching, and perfor... Mehr lesen