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Deep Learning CNN: Convolutional Neural Networks with Python

Deep Learning CNN: Convolutional Neural Networks with Python

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.


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