Deep Learning CNN: Convolutional Neural Networks with Python

Deep Learning CNN: Convolutional Neural Networks with Python, Use CNN for Image Recognition, Computer vision using TensorFlow & VGGFace2! For Data Science, Machine Learning, and AI

Created by AI Sciences AI Sciences Team, English, English, French

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What you'll learn

• The importance of Convolutional Neural Networks (CNNs) in Data Science.
• The reasons to shift from hand engineering (classical computer vision) to CNNs.
• The essential concepts from the absolute beginning with comprehensive unfolding with examples in Python.
• Practical explanation and live coding with Python.
• An overview of concepts of Deep Learning theory.
• Evolutions of CNNs from LeNet (1990s) to MobileNets (2020s).
• Deep details of CNNs with examples of training CNNs from scratch.
• TensorFlow (Deep learning framework by Google).
• The use and applications of state-of-the-art CNNs (with implementations in state-of-the-art framework TensorFlow) that are much more recent and advanced in terms of accuracy and efficiency.
• The use and applications of state-of-the-art pre-trained CNNs (with implementations in state-of-the-art framework TensorFlow) for transfer learning on your own dataset.
• Building your own applications for human Face Verification and Neural Style Transfer.