Natural Language Processing on Google Cloud
Key Takeaways
Develops Natural Language Processing projects on Google Cloud using Vertex AI, TensorFlow, and AutoML
Original Description
This course introduces the products and solutions to solve NLP problems on Google Cloud. Additionally, it explores the processes, techniques, and tools to develop an NLP project with neural networks by using Vertex AI and TensorFlow.
- Recognize the NLP products and the solutions on Google Cloud.
- Create an end-to-end NLP workflow by using AutoML with Vertex AI.
- Build different NLP models including DNN, RNN, LSTM, and GRU by using TensorFlow.
- Recognize advanced NLP models such as encoder-decoder, attention mechanism, transformers, and BERT.
- Understand transfer learning and apply pre-trained models to solve NLP problems.
Prerequisites: Basic SQL, familiarity with Python and TensorFlow
Watch on External: Coursera ↗
(saves to browser)
Sign in to unlock AI tutor explanation · ⚡30
More on: LLM Foundations
View skill →Related AI Lessons
⚡
⚡
⚡
⚡
Want to get started with deep learning
Reddit r/deeplearning
Building a Deepfake Detector From Scratch — What Nobody Tells You
Medium · Deep Learning
Unfolding the Meandering Path: High-Dimensional Invariance and the Flat 2D Plane of Neural…
Medium · Deep Learning
Implementing Neural Style Transfer from Scratch: The Project That Started It All
Medium · Deep Learning
🎓
Tutor Explanation
DeepCamp AI