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Learn the fundamentals of Convolutional Neural Networks through hands-on tutorials that progress from basic concepts to advanced implementations. Start with a comprehensive explanation of CNN architecture and principles, then dive into practical deep learning using TensorFlow with an introduction to the framework. Build your first neural network in TensorFlow with detailed step-by-step guidance, followed by constructing your initial Convolutional Neural Network using TensorFlow. Advance your skills by creating CNNs in Keras with clear instructions, and conclude by implementing ResNets (Residual Networks) in Keras through systematic tutorials that demonstrate advanced deep learning techniques for image recognition and computer vision applications.
Syllabus
Convolutional Neural Networks (CNN) explained step by step
Deep Learning with TensorFlow - Introduction to TensorFlow
Building our first neural network in TensorFlow explained step by step
Building our first Convolutional Neural Networks in TensorFlow step by step
Building our first Convolutional Neural Networks in Keras step by step
Building RestNets in Keras step by step
Taught by
Python Lessons