Convolutional Neural Networks in TensorFlow
Completed by Paul Jazon Samillano
September 9, 2020
16 hours (approximately)
Paul Jazon Samillano'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: Fine-tuning
- Category: Model Training
- Category: Deep Learning
- Category: Tensorflow
- Category: Classification Algorithms
- Category: Computer Vision
- Category: Model Evaluation
- Category: Keras (Neural Network Library)
- Category: Image Analysis
- Category: Transfer Learning
- Category: Data Preprocessing
- Category: Artificial Neural Networks
