- Transfer Learning
- Tensorflow
- Applied Machine Learning
- Computer Vision
- Convolutional Neural Networks
- Classification Algorithms
- Deep Learning
- Machine Learning
- Data Preprocessing
- Model Evaluation
- Image Analysis
- Keras (Neural Network Library)
Convolutional Neural Networks in TensorFlow
Completed by Srudeep P A
July 24, 2020
16 hours (approximately)
Srudeep P A'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
