Solve complex real-life problems with the simplicity of Keras
Master key concepts and practical skills through structured learning modules. By completing this curriculum, you'll gain valuable expertise applicable to real-world scenarios.
Understand the difference between single-layer and multi-layer neural network models
Use Keras to build simple logistic regression models, deep neural networks, recurrent neural networks, and convolutional neural networks
Apply L1, L2, and dropout regularization to improve the accuracy of your model
Implement cross-validate using Keras wrappers with scikit-learn
Understand the limitations of model accuracy
This comprehensive Applied Deep Learning with Keras curriculum is designed to take you from foundational concepts to advanced implementation. Each module builds upon the previous, ensuring a structured learning path that maximizes knowledge retention and practical application.
Understand what you need to succeed in this course and determine if it's the right fit for your learning goals
What you need before starting this Applied Deep Learning with Keras course:
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Everything you need to know about this online course, from duration to certification
Course Instructor
Packt Publishing
Expert instructor with industry experience
Course Language
English
All materials in English
This online course offers comprehensive training with expert instruction, practical exercises, and a certificate of completion. Join thousands of students advancing their careers through quality online education.
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