Deep Learning - Recurrent Neural Networks with TensorFlow
Completed by Stefan Hassler
November 22, 2024
5 hours (approximately)
Stefan Hassler's account is verified. Coursera certifies their successful completion of Deep Learning - Recurrent Neural Networks with TensorFlow
What you will learn
Identify the fundamental concepts and structures of Recurrent Neural Networks
Implement autoregressive linear models and RNNs for time series prediction in TensorFlow
Assess the performance of RNN models in real-world applications, including stock return prediction and image classification
Develop and fine-tune RNN models for complex tasks, such as text classification and long-distance sequence prediction
Skills you will gain
- Category: Tensorflow
- Category: Classification Algorithms
- Category: Predictive Analytics
- Category: Predictive Modeling
- Category: Forecasting
- Category: Model Training
- Category: Recurrent Neural Networks (RNNs)
- Category: Text Mining
- Category: Machine Learning
- Category: Natural Language Processing
- Category: Data Preprocessing
- Category: Data Science
