Day #233 - Tensorflow 2.0 notes

Summary of Notes

• Adopted Keras for high level API, tf.keras
• Common Pieces for - layers, models, optimizers
• Keras - Pythonic and Easy to learn
• For Larger Scale data, Estimators used - For Fault Tolerance
• Estimators are powerful machines, All estimators moved to keras
• 1.0 - No Session, 2.0 Eager mode
• Graphs even in eager context
• Eager execution is a way to train a Keras model without building a graph
• One set of Optimizers, Full Serializeable
• Losses consolidated into single set
• RNN layers update in Tensorflow, Unified RNN layers
• Tensorboard for Performance profiling, Model performance
• tf.distribute.Strategy API - Designed to handle many distribution architectures (Multi-Gpu)

To Update
pip install -q tensorflow==2.0.0-alpha0



Happy Mastering DL!!!