This episode of TensorFlow Tip of the Week focuses on debugging your TensorFlow projects. This is an important step to get your code working properly, especially when you are preparing your datasets. Laurence (@lmoroney) shows us how to get started with the step by step debugger using the PyCharm IDE. Subscribe to the channel for more TensorFlow tips!
Published on August 14, 2018 by Carlo LepelaarsCategory AI Python Tensorflow Tag A.I. (Artificial Intelligence) Debugging Google Laurence Moroney PyCharm Python Short Tensorflow
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