Convolutional Neural Networks in TensorFlow
Completed by ANDRES PEREZ PEREZ
April 21, 2020
16 hours (approximately)
ANDRES PEREZ PEREZ'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
- Category: Classification Algorithms
- Category: Deep Learning
- Category: Model Evaluation
- Category: Fine-tuning
- Category: Data Preprocessing
- Category: Applied Machine Learning
- Category: Transfer Learning
- Category: Keras (Neural Network Library)
- Category: Model Optimization
- Category: Machine Learning
- Category: Tensorflow
- Category: Computer Vision
