In this course, TensorFlow Developer Certificate - TensorFlow Developer Skills , you will learn several items.
First, you will learn how to compile and run Python programs in PyCharm.
Next, you will discover how to find information about TensorFlow APIs.
Then, how to solve error messages fro
m the TensorFlow API.
Finally, how to save ML models and check the model file size
In this course, TensorFlow Developer Certificate - TensorFlow Developer Skills , you will lear n several items. First, you will learn how to program in Python, resolve Python issues, and compile and run Python programs in PyCharm. Next is how to find information about TensorFlow APIs, including guides and API references on tensorflow.org. Then, know how to debug, investigate, and solve error messages from the TensorFlow API. Then, how to search beyond tensorflow.org, as and when necessary, to solve your TensorFlow questions. Then how to create ML models using TensorFlow where the model size is reason able for solving the problem. Then how to save ML models and check the model file size. Finally, Understand the compatibility discrepancies between different versions of TensorFlow
First, you will learn how to compile and run Python programs in PyCharm.
Next, you will discover how to find information about TensorFlow APIs.
Then, how to solve error messages fro
m the TensorFlow API.
Finally, how to save ML models and check the model file size
In this course, TensorFlow Developer Certificate - TensorFlow Developer Skills , you will lear n several items. First, you will learn how to program in Python, resolve Python issues, and compile and run Python programs in PyCharm. Next is how to find information about TensorFlow APIs, including guides and API references on tensorflow.org. Then, know how to debug, investigate, and solve error messages from the TensorFlow API. Then, how to search beyond tensorflow.org, as and when necessary, to solve your TensorFlow questions. Then how to create ML models using TensorFlow where the model size is reason able for solving the problem. Then how to save ML models and check the model file size. Finally, Understand the compatibility discrepancies between different versions of TensorFlow
