Implement AI with Keras for building complex Deep Learning neural networks with fewer lines of coding in Python
Master key concepts and practical skills through structured learning modules. By completing this curriculum, you'll gain valuable expertise applicable to real-world scenarios.
Install and configure Keras. Study Deep Convolutional Neural Networks.
Develop a deep learning network from scratch with Keras using Python to solve a practical problem of classifying the traffic signs on the road.
Get introduced to Computer Vision & Deep Learning.
Setup and develop an environment with VM or Docker. Ipython and Jupyter notebook.
Discover activation functions, forward propagation, backward propagation.
This comprehensive A Practical Guide to 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 A Practical Guide to 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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