DS Unit 4 Sprint 14: Neural Networks
Welcome to Sprint 14
Neural Networks - the latest and greatest in predictive modeling. Or is it? Inspired by biology and based on math that's been around for decades, the past few years have seen some pretty impressive results as computational resources allow running much larger networks. We can now identify cat pictures! And much more…
Sprint Modules
This sprint is structured to provide you with a comprehensive understanding of neural networks, guiding you through the entire lifecycle from design to deployment:
Module 1
Architect
Dive into the core components of neural networks: neurons, layers, and activation functions. Understand their interplay and the importance of design choices in influencing model performance. Let's begin this exciting journey of crafting your own neural networks.
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Train
Get hands-on with training neural networks, exploring forward and backward propagation, cost functions, and learning rates. Learn the crucial role of data splitting in model validation and improve your grasp of the training process.
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Tune
Focus on advanced techniques for model refinement, including hyperparameter tuning, regularization, and early stopping. Learn how to prevent overfitting, improve generalization, and accelerate training, optimizing your model's performance.
View ModuleModule 4
Deploy
Turn theory into practice by bringing your trained neural networks to real-world applications. Understand the practical aspects of model serialization, cloud deployment, and the essentials of maintaining and updating models in various environments.
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