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Deep Learning
Introduction to NNs
Optimization
Backpropagation
Convolutional Networks
Language Modeling
Activations and Gradients
Attention and Transformers
ML Engineering & MLOps
Preliminaries
Packaging Modeling Code
Experiment Tracking
Distributed Task Queues
Model Deployment
Best Engineering Practices
Continuous Integration and Deployment Pipelines
Prediction Serving API
Notes
Docker Containers
TensorFlow Crash Course
Benchmarking and Profiling
Repository
Open issue
Index
