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TENSORFLOW

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TensorFlow Categorical Classification

Learn how to use categorical classification in TensorFlow with Python to accurately predict different categories that images fall into, such as blank, square, circle, or triangle. Understand how to compile and train the model, and then test its accuracy using random samples from the training set.
06 September 2020

TensorFlow Binary Classification

Learn how to use binary classification with TensorFlow to classify images into two classes using a simple example of training a model to recognize squares and circles. Discover the key aspects, including using one output neuron with a sigmoid activation function, and the BinaryCrossentropy loss function.
06 September 2020

TensorFlow has two random seeds

Learn the correct way to generate the same random output in TensorFlow using global and operation-level seeds. Don't forget to set the global seed before each operation!
04 September 2020
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