Machine Learning with Tensorflow_Học máy với Tensorflow
- Tín chỉ
- 3
- Bậc
- Bachelor
- Thang điểm
- 10
- Điểm qua
- 5
Mô tả
Upon finishing the course, students must acquire: 1. the following knowledge: (ABET a1) • Concepts of machine learning, its main challenges and testing and validating in machine learning. • Concepts of artificial neural networks, deep neural networks and its applications using TensorFlow. 2. the following skills: (ABET a2) • Implement neural networks with Keras, TensorFlow. • Fine-tune neural network hyperparameters. • Train deep neural networks. • Customize train models and algorithms. • Load and preprocess data with TensorFlow. • Solve problems using Convolutional Neural Network (CNN).
Phân bổ thời gian
Study hour (150h) = 45h contact hours + 1h final exam + 104h self-study
Nhiệm vụ sinh viên
- Students must attend not less than 80% of contact slots in order to be accepted to the final examination. - Student is responsible to do all exercises given by instructor in class or at home and submit on time - Use laptop in the class for learning purpose only - Constantly follow announcements on intranet/CMS at http://cmshn.fpt.edu.vn for up-to-date course information regarding assignment submission and feedback on assignments
Công cụ
Students should have a computer with Google Account to use Google Colab: https://colab.research.google.com
Lưu ý
On-going assessment: 1. 02 Assignments: 30% (a2) 2. 02 Progress tests: 30% (a1) Final exam: 40% (a1, a2) Completion Criteria: Every on-going assessment component > 0, Final Result >=5 & Final Exam Score >=4