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From the UDEMY-ZTM Course

00_tensorflow_fundamentals.ipynb

In this first notebook I am covering some of the fundamental concepts of tensor using TensorFlow

• Introduction to TEnsors

• Creating tensors with tf.

• Creating Random Tensors

• Manipulations (numPy to Tf; getting info; indexing; expanding;...)

• One Hot Encoding

• Squaring, log, square root

01_neural_network_regression.ipynb

• Architecture of a neural network regression model

• Input shapes and output shapes of a regression model (features and labels)

• Creating custom data to view and fit

• Steps in modelling

  • Creating a model, compiling a model, fitting a model, evaluating a model.

• Different evaluation methods

• Saving and loading models

...