Features & Benefits
- Master different deep learning paradigms
- Build real-world projects like text generation and sentiment analysis
- Get to grips with R's range of Deep Learning libraries such as Tensorflow and Keras
- Implement neural networks including CNNs, LSTMs, and Autoencoders
- Learn applications such as fraud detection and sentiment analysis
- Achieve a better understanding of deep learning techniques and how to apply them practically