Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning
Skills:
ML Pipelines80%
Key Takeaways
Builds a TensorFlow model for machine learning and deep learning
Original Description
If you are a software developer who wants to build scalable AI-powered algorithms, you need to understand how to use the tools to build them. This course is part of the DeepLearning.AI TensorFlow Developer Specialization and will teach you best practices for using TensorFlow, a popular open-source framework for machine learning.
The Machine Learning course and Deep Learning Specialization from Andrew Ng teach the most important and foundational principles of Machine Learning and Deep Learning. This new DeepLearning.AI TensorFlow Developer Specialization teaches you how to use TensorFlow to implement those principles so that you can start building and applying scalable models to real-world problems. To develop a deeper understanding of how neural networks work, we recommend that you take the Deep Learning Specialization.
Watch on External: Coursera ↗
(saves to browser)
Sign in to unlock AI tutor explanation · ⚡30
More on: ML Pipelines
View skill →Related Reads
📰
📰
📰
📰
Getting Started with Docling!
Medium · Machine Learning
Code Challenge of the Day — Evaluate reverse Polish (medium)
Dev.to · I Want To Learn Programming
Monte Carlo Simulation for Tournament Forecasting: From a Match Model to Bracket Probabilities
Dev.to · Neu Portal
Dars 1: Machine Learning Muhiti va Kirish (Õzbek tilda)
Medium · Deep Learning
🎓
Tutor Explanation
DeepCamp AI