DeepLearning.AI TensorFlow Developer
Completed by Gagah Ghaniswara Khaesarrahman
December 31, 1969
Approximately 2 months at 10 hours a week to completeGagah Ghaniswara Khaesarrahman's account is verified. Coursera certifies their successful completion of DeepLearning.AI DeepLearning.AI TensorFlow Developer Specialization.
Course Certificates Completed
What you will learn
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.
Skills you will gain
- Category: Natural Language Processing
- Category: Model Training
- Category: Embeddings
- Category: Artificial Neural Networks
- Category: Deep Learning
- Category: Recurrent Neural Networks (RNNs)
- Category: Machine Learning
- Category: Applied Machine Learning
- Category: Forecasting
- Category: Model Evaluation
- Category: Convolutional Neural Networks
- Category: Time Series Analysis and Forecasting
Course Certificates
Earned after completing each course in the Specialization