Topic Tag: neural networks

Topic 7: modeling best practices (E)

It's now time for you to practice on your own! Start by downloading the materials, if you have not already done so. The required files include: The exercise file (lesson3-topic7-modeling-best-practices-practice.ipynb). This notebook contains 13 steps to guide you on the modeling of best practices. The MAGIC dataset (magic04.csv). This dataset contains simulated information about the registration …

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Topic 5: tuning a model with Keras Tuner (CW)

In this 13-minute video, Jon-Cody will walk you through hyperparameter tuning using Keras Tuner. To follow along with him, ensure that you have found the Topic 5 presentation. You’ll also want to open your anaconda-navigator, set your environment to nasa-nn, launch Jupyter Notebook, and open the notebook we've provided.

Topic 4: visualizing model performance using TensorBoard (CW)

In this 9-minute video, Jon-Cody will build a neural network model using TensorFlow, evaluate it, and visualize the results using TensorBoard. To follow along with him, ensure that you have found the Topic 4 presentation. You’ll also want to open your anaconda-navigator, set your environment to nasa-nn, launch Jupyter Notebook, and open the notebook we've …

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Topic 3: assessing and improving the fit

The 12-minute video below will cover the difference between underfitting and overfitting, and then discuss the most common methods for combatting overfitting in neural networks. To follow along with Jon-Cody’s presentation, download the slides available here. If that video raised any questions for you, post them to the course forum. Otherwise, spend some time reviewing the …

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Topic 7: implementing a custom neural network architecture (E)

It's now time for you to practice on your own! Start by downloading the materials, if you have not already done so. The .zip file will contain: The exercise file (lesson2-topic7-improving-a-nn-practice.ipynb). This notebook contains 15 steps to guide you through the process of improving your neural network using the components that we've been discussing. The …

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Topic 6: implementing a custom neural network architecture (CW)

In the first 3-minute video, Jon-Cody will cover some background information before opening his Python environment in the second video for a 25-minute coding walkthrough. He will create models with different numbers of epochs, batch sizes, and learning rates to compare how those parameters impact loss and accuracy. To follow along with him, ensure that …

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