Create a Neural Network

This project is part of the Deep Learning for Basketball Scores Prediction bundle.
prerequisites
basics of Python, TensorFlow, Keras, and deep learning
skills learned
manipulate data with pandas • build a neural network with Keras • test and validate a neural network
Evan Hennis
1 week · 4-6 hours per week · INTERMEDIATE
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liveProject This project is part of the Deep Learning for Basketball Scores Prediction bundle. liveProjects give you the opportunity to learn new skills by completing real-world challenges in your local development environment. Solve practical problems, write working code, and analyze real data—with liveProject, you learn by doing. These self-paced projects also come with full liveBook access to select books for 90 days plus permanent access to other select Manning products. $19.99 $29.99 you save: $10 (33%)
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In this liveProject, you’ll use Keras to create a deep learning model for predicting basketball scores. Once your model is created, you’ll train it up on sample data and then validate your results to ensure it’s still accurate when applied to data from the real world.
This project is designed for learning purposes and is not a complete, production-ready application or solution.

book resources

When you start your liveProject, you get full access to the following books for 90 days.

project author

Evan Hennis
Evan Hennis is a Google Developer Expert in Machine Learning and an international speaker. He has an undergraduate degree in Computer Science from Iowa State University and a Master's degree in Computer Science with a specialization in machine learning from Georgia Tech. He has spent over sixteen years in software development, working across multiple languages and domains.

prerequisites

This project is for intermediate Python programmers looking to enhance their data science skills with deep learning techniques. To begin this liveProject, you will need to be familiar with:

TOOLS
  • Basics of Python
  • Basics of pandas
  • Basics of Google Colab
  • Basics of TensorFlow and Keras
TECHNIQUES
  • Basics of deep learning

you will learn

In this liveProject series, you’ll learn all the steps needed to deliver a working machine learning project to a client.

  • Using pandas to manipulate data to build training and testing data frames
  • Setting up a deep learning network
  • Creating a Keras neural network
  • Testing and validating a neural network

features

Self-paced
You choose the schedule and decide how much time to invest as you build your project.
Project roadmap
Each project is divided into several achievable steps.
Get Help
While within the liveProject platform, get help from other participants and our expert mentors.
Compare with others
For each step, compare your deliverable to the solutions by the author and other participants.
book resources
Get full access to select books for 90 days. Permanent access to excerpts from Manning products are also included, as well as references to other resources.
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