From the course: Deep Learning with TensorFlow: Insights and Innovations

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Challenge: My first TensorFlow model

Challenge: My first TensorFlow model - TensorFlow Tutorial

From the course: Deep Learning with TensorFlow: Insights and Innovations

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Challenge: My first TensorFlow model

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(upbeat music) - [Instructor] Wow, we have covered a lot of ground with deep learning with TensorFlow. Next, we are going to work on a challenge where you get to practice the learnings from importing libraries to standardization, to pre-processing, to creating the model, training the model, evaluating the model, and finally, creating the figures to see the results of our deep learning model. So if you are ready, meet me in the code spaces, and from the left pane, find the SRC folder and find the 03_07_challenge Python file. So in this Python file, you will see that we have the libraries pre-installed for us, including TensorFlow, SK Learn data sets, SK Learn model selection, SK Learn pre-processing, Mat Plot Lib, and so on. So in the challenge file, we can already see that the California housing data set is preloaded for us and assigned to housing. Next, our data set is split into X train, X validation, Y train, and Y validation for us. So we will go ahead and tackle the problem as…

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