- Computer Vision
- Convolutional Neural Network
- Machine Learning
- Natural Language Processing
November 23, 2020
Approximately 2 months at 10 hours a week to completeAlejandro MartÃn Simón Sánchez'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: Alejandro MartÃn Simón Sánchez by October 7, 2020
4 weeks, 4-5 hours/week
DeepLearning.AI
Taught by: Laurence Moroney
Completed by: Alejandro MartÃn Simón Sánchez by October 20, 2020
4 weeks of study, 4-5 hours/week
DeepLearning.AI
Taught by: Laurence Moroney
Completed by: Alejandro MartÃn Simón Sánchez by November 23, 2020
4 weeks of study, 4-5 hours/week
DeepLearning.AI
Taught by: Laurence Moroney
Completed by: Alejandro MartÃn Simón Sánchez by September 15, 2020
4 weeks of study, 4-5 hours/week