Convolutional Neural Networks in TensorFlow
Completed by Kemas Muhammad Riski Aditia
October 27, 2024
16 hours (approximately)
Kemas Muhammad Riski Aditia'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: Machine Learning
- Category: Model Evaluation
- Category: Fine-tuning
- Category: Data Preprocessing
- Category: Model Optimization
- Category: Keras (Neural Network Library)
- Category: Applied Machine Learning
- Category: Transfer Learning
- Category: Computer Vision
- Category: Deep Learning
- Category: Classification Algorithms
- Category: Tensorflow
