You should update all references to use `tfp.distributions` instead of `tf.distributions`. The TensorFlow Distributions library has moved to TensorFlow Probability (). WARNING:tensorflow:From /tmpfs/src/tf_docs_env/lib/python3.9/site-packages/tensorflow/python/ops/distributions/distribution.py:259: ReparameterizationType._init_ (from .distribution) is deprecated and will be removed after. 04:38:40.555938: E tensorflow/compiler/xla/stream_executor/cuda/cuda_:1518] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered 04:38:40.555902: E tensorflow/compiler/xla/stream_executor/cuda/cuda_fft.cc:609] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered 04:38:40.555856: E tensorflow/compiler/xla/stream_executor/cuda/cuda_dnn.cc:9342] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered Import TensorFlow and other necessary libraries: import matplotlib.pyplot as pltįrom import Sequential In addition, the notebook demonstrates how to convert a saved model to a TensorFlow Lite model for on-device machine learning on mobile, embedded, and IoT devices. ![]() Improve the model and repeat the process.This tutorial follows a basic machine learning workflow: Identifying overfitting and applying techniques to mitigate it, including data augmentation and dropout.Efficiently loading a dataset off disk.This tutorial shows how to classify images of flowers using a tf.keras.Sequential model and load data using tf._dataset_from_directory.
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