- Applied Machine Learning
- Keras (Neural Network Library)
- Computer Vision
- Deep Learning
- Convolutional Neural Networks
- Data Preprocessing
- Tensorflow
- Model Evaluation
- Transfer Learning
- Machine Learning
- Classification Algorithms
- Image Analysis
Convolutional Neural Networks in TensorFlow
Completed by Andrés Salinas
October 22, 2021
16 hours (approximately)
Andrés Salinas's account is verified. Coursera certifies their successful completion of Convolutional Neural Networks in TensorFlow
What you will learn
Handle real-world image data
Plot loss and accuracy
Explore strategies to prevent overfitting, including augmentation and dropout
Learn transfer learning and how learned features can be extracted from models
Skills you will gain
