Convolutional Neural Networks in TensorFlow
Completed by M. 'Ariq Nafis
October 30, 2024
16 hours (approximately)
M. 'Ariq Nafis'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: Deep Learning
- Category: Convolutional Neural Networks
- Category: Classification Algorithms
- Category: Computer Vision
- Category: Tensorflow
- Category: Model Evaluation
- Category: Keras (Neural Network Library)
- Category: Transfer Learning
- Category: Model Optimization
- Category: Machine Learning
- Category: Artificial Neural Networks
