TensorFlow: Core Concepts & Tensors. TensorFlow is Google's open-source machine learning framework. TF 2.x uses eager execution by default (compute immediately) and Keras as its primary high-level API. Used for neural ne…
ReadTensorFlow: Building Models with Keras. Sequential API. import tensorflow as tf from tensorflow import keras # Sequential — for simple linear stacks of layers model = keras.Sequential([ keras.layers.Input(shape=(784,)), …
ReadTensorFlow: Training Optimization. Optimizers. Adam: adaptive learning rate per parameter — best default choice for most problems. SGD + momentum: often better final accuracy than Adam with proper lr schedule. RMSprop: g…
ReadTensorFlow: Deployment. Saving & Loading Models. # Save in Keras format (recommended for TF/Keras) model.save('model.keras') model = keras.models.load_model('model.keras') # SavedModel format (for TF Serving, TFLite conv…
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