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TABLE OF CONTENTS16 sections

AI and ML with TensorFlow & PyTorch

01AI and ML with TensorFlow & PyTorch 02Foundations Of Artificial Intelligence And Machine Learning 03Mathematical And Computational Foundations 04Data Preparation Feature Engineering And Tensor Pipelines 05Classical Machine Learning And Baseline Models 06Neural Networks And Representation Learning 07Tensorflow And Pytorch Model Engineering 08Training Evaluation And Experimentation 09Computer Vision With Convolutional Networks 10Sequence Learning And Time Series Analytics 11Attention Transformers And Generative Ai 12Unsupervised Self Supervised And Generative Learning 13Reinforcement Learning And Sequential Decision Making 14Deployment Mlops And Scalable Ai Systems 15Responsible Ai Security And Governance 16Ai Strategy Digital Transformation And Future Directions

Chapter 7

Training Evaluation And Experimentation

PREVIOUS SECTIONTensorflow And Pytorch Model Engineering UP NEXTComputer Vision With Convolutional Networks

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