- Model Evaluation
- Machine Learning
- Computer Vision
- Deep Learning
- Convolutional Neural Networks
- Keras (Neural Network Library)
- Artificial Intelligence
- Tensorflow
- Data Preprocessing
- Artificial Neural Networks
- Image Analysis
Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning
Completed by Sejin Kim
July 15, 2021
22 hours (approximately)
Sejin Kim's account is verified. Coursera certifies their successful completion of Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning
What you will learn
Learn best practices for using TensorFlow, a popular open-source machine learning framework
Build a basic neural network in TensorFlow
Train a neural network for a computer vision application
Understand how to use convolutions to improve your neural network
Skills you will gain
