AI & Deep Learning with TensorFlow and Keras – Vision, NLP & More

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  • AI & Deep Learning with TensorFlow and Keras – Vision, NLP & More

Modules and Content

1. Neural Network Foundations
  • Activation functions, forward/backward prop
  • Loss functions and optimizers
  • Model creation, training, and evaluation
  • Custom layers and callbacks
  • Image classification, data augmentation
  • Projects: MNIST, CIFAR-10
  • Text preprocessing, embeddings, sentiment analysis
  • Introduction to Chatbots
  • Problem statement + model + deployment roadmap

Reference

  • “Piping Handbook” by Mohinder L. Nayyar ,
  • “Process Piping: The Complete Guide to ASME B31.3” by Charles Becht IV,
  • “Pipe Stress Engineering” by Liang-Chuan Peng and Tsen-Loong Peng
  • “Piping Design Handbook” by John J. McKetta Jr.
  • “The Planning Guide to Piping Design” by Richard Beale and David R. Sherwood