Advanced Deployment Scenarios with TensorFlow

AI-ML colleagues, this Advanced Deployment Scenario with TensorFlow Specialization builds upon our TensorFlow in Practice Specialization. Build high-demand.skill in: TensorFlow Serving, Machine Learning and Federated Learning, TensorFlow Hub and TensorBoard. Skill-based training modules address: 1 - TensorFlow Extended (Serving, Installing TF Serving1m, TensorFlow Serving summary, Setup for serving2m, Serving, Predictions, Passing data to serving, Getting the predictions back, Running the colab and Complex model), 2 - Sharing pre-trained models with TensorFlow Hub (Introduction to TF Hub, Transfer learning, Inference1m, Module storage, Text based model, Word embeddings, Experimenting with embeddings, Colab1m, Classify cats and dogs and Transfer learning), 3 - Tensorboard: tools for model training (Tensorboard scalars, Callbacks, Histograms, Publishing model details, Local tensorboard, Looking at graphics in a dataset, More than one image, Confusion matrix and Multiple callbacks, and  4 - Federated Learning (Training on mobile devices, Data at the edge, How it works, Maintaining user privacy, Masking, APIs for Federated Learning, Example of federated learning and Outro).

Enroll today (individuals & teams welcome): https://tinyurl.com/w9bzc2ks 

Much career success, Lawrence E. Wilson - Artificial Intelligence Academy