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Overview
This course offers a practical introduction to deep learning using Keras, one of the most popular high-level neural network APIs. Students will learn to build four different deep learning applications from scratch, gaining hands-on experience with neural networks, convolutional networks, and recurrent networks. The course covers fundamental concepts such as model architecture, activation functions, loss functions, and optimization techniques. Learners will also explore real-world datasets and understand how to preprocess data for training models effectively. Ideal for beginners and intermediate...
Syllabus
- Introduction
- Traditional Machine Learning
- Neural Networks
Instructor
Adam Eubanks
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