Topic Category: Coding Walkthrough

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... Read more »

Topic 2: data prep and model performance metrics (CW)

In this 13-minute video, Jon-Cody will walk you through best practices for data preparation as it relates to neural networks and show you how to compute and evaluate metrics. To follow along with him, ensure that you have found the Topic 2 presentation. You’ll also want to open your anaconda-navigator, set your environment to nasa-nn, launch... Read more »

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... Read more »

Topic 2: backpropagation and gradient descent using TensorFlow (CW)

In this 9-minute video, Jon-Cody will walk you through the mechanics of backpropagation on a simple feedforward neural network. To follow along with him, ensure that you have found the Topic 2 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. After the video,... Read more »

Topic 5: implementing and evaluating a neural network (CW)

In the 26-minute video below, Jon-Cody spends the first 6 minutes introducing the Costa Rican Household Poverty dataset and providing a few notes on coding syntax, before taking the remaining 20 minutes to walk you through the implementation of a simple neural network. To follow along with him, ensure that you have found the Topic... Read more »