- Convolutional Neural Networks
- Transfer Learning
- Keras (Neural Network Library)
- Tensorflow
- Data Preprocessing
- Machine Learning
- Computer Vision
- Image Analysis
- Applied Machine Learning
- Classification Algorithms
- Model Evaluation
- Deep Learning
Convolutional Neural Networks in TensorFlow
Completed by Yash Namdeo .Nikhare
June 25, 2020
16 hours (approximately)
Yash Namdeo .Nikhare '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
