Convolutional Neural Networks in TensorFlow
Completed by Frederick Rianto Putra
April 25, 2024
16 hours (approximately)
Frederick Rianto Putra'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: Model Optimization
- Category: Fine-tuning
- Category: Data Preprocessing
- Category: Model Evaluation
- Category: Keras (Neural Network Library)
- Category: Deep Learning
- Category: Classification Algorithms
- Category: Machine Learning
- Category: Tensorflow
- Category: Computer Vision
- Category: Convolutional Neural Networks
- Category: Image Analysis
