- Computer Vision
- Convolutional Neural Network
- Machine Learning
- Natural Language Processing
April 1, 2020
Approximately 2 months at 10 hours a week to completeImesh Udara Ekanayake'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 a 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: Imesh Udara Ekanayake by April 1, 2020
4 weeks, 4-5 hours/week
DeepLearning.AI
Taught by: Laurence Moroney
Completed by: Imesh Udara Ekanayake by March 31, 2020
4 weeks of study, 4-5 hours/week
DeepLearning.AI
Taught by: Laurence Moroney
Completed by: Imesh Udara Ekanayake by March 28, 2020
4 weeks of study, 4-5 hours/week
DeepLearning.AI
Taught by: Laurence Moroney
Completed by: Imesh Udara Ekanayake by March 30, 2020
4 weeks of study, 4-5 hours/week