Deep Learning with Databricks
- Offered byDatabricks
Deep Learning with Databricks at Databricks Overview
Duration | 16 hours |
Mode of learning | Online |
Official Website | Go to Website  |
Credential | Certificate |
Deep Learning with Databricks at Databricks Highlights
- Earn a certificate after completion of course from Databricks
Deep Learning with Databricks at Databricks Course details
The "Deep Learning with Databricks" course provides an extensive exploration of how to leverage Databricks' unified analytics platform for building, training, and deploying deep learning models
It is designed for data scientists, machine learning engineers, and AI practitioners, this course focuses on integrating deep learning workflows with Databricks to accelerate model development and deployment
Deep Learning with Databricks at Databricks Curriculum
Day 1
Neural network and tf.keras fundamentals
Improve models by adding data standardization, callbacks, checkpointing, etc.
Track and version models with MLflow
Distributed inference with pandas UDFs
Distributed hyperparameter tuning with HyperOpt
Distributed model training with Horovod
Day 2
Distributed model training with Horovod and Petastorm
Model interpretability with LIME and SHAP
CNNs for image classification and transfer learning
Deploy REST endpoint using MLflow Model Serving on Databricks
Textual embeddings, RNNs, attention-based models, and transfer learning for named entity recognition (NER)
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Deep Learning with Databricks