Comprehensive guide to data augmentation techniques for training robust deep learning models. Why Data Augmentation? Benefits: Increases training data diversity Reduces overfitting Improves model generalization Makes models robust to variations Cost-effective alternative to collecting more data Common Use Cases: …

High-level Keras API for building neural networks quickly. Installation 1# Keras is included in TensorFlow 2.x 2pip install tensorflow 3 4# Standalone Keras (multi-backend) 5pip install keras Sequential Model 1from tensorflow import keras 2from tensorflow.keras import layers 3 4model = keras.Sequential([ 5 …