Deep Learning - Recurrent Neural Networks with TensorFlow
Completed by oussama gabbany
October 14, 2024
5 hours (approximately)
oussama gabbany'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: Predictive Analytics
- Category: Text Mining
- Category: Data Preprocessing
- Category: Deep Learning
- Category: Embeddings
- Category: Time Series Analysis and Forecasting
- Category: Machine Learning
- Category: Data Science
- Category: Artificial Neural Networks
- Category: Predictive Modeling
- Category: Classification Algorithms
- Category: Tensorflow
