- Machine Learning
- Deep Learning
- Machine Learning Algorithms
- Artificial Neural Networks
- Applied Machine Learning
- Human Learning
- Computer Programming
- Python Programming
- Computer Vision
- Algorithms
- Network Model
- Data Visualization
July 4, 2020
Approximately 2 months at 10 hours a week to completeTimo Sulg's account is verified. Coursera certifies their successful completion of DeepLearning.AI DeepLearning.AI TensorFlow Developer Specialization.
Course Certificates Completed
Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning
Convolutional Neural Networks in TensorFlow
Natural Language Processing in TensorFlow
Sequences, Time Series and Prediction
Best practices for TensorFlow, a popular open-source machine learning framework to train a neural network for computer vision applications.
Handle real-world image data and explore strategies to prevent overfitting, including augmentation and dropout.
Build natural language processing systems using TensorFlow.
Apply RNNs, GRUs, and LSTMs as you train them using text repositories.
Earned after completing each course in the Specialization
DeepLearning.AI
Taught by: Laurence Moroney
Completed by: Timo Sulg by July 2, 2020
4 weeks, 4-5 hours/week
DeepLearning.AI
Taught by: Laurence Moroney
Completed by: Timo Sulg by July 3, 2020
4 weeks of study, 4-5 hours/week
DeepLearning.AI
Taught by: Laurence Moroney
Completed by: Timo Sulg by July 4, 2020
4 weeks of study, 4-5 hours/week
DeepLearning.AI
Taught by: Laurence Moroney
Completed by: Timo Sulg by July 4, 2020
4 weeks of study, 4-5 hours/week