In this course, you will :
- Create and train deep neural networks, identify critical architecture parameters, and apply vectorized neural networks and deep learning to applications.
- In TensorFlow, you can train test sets, analyse variance for DL applications, use standard techniques and optimization algorithms, and build neural networks.
- Create a CNN and apply it to detection and recognition tasks, generate art using neural style transfer, and apply algorithms to image and video data.
- Create and train RNNs, work with NLP and Word Embeddings, and perform NER and Question Answering with HuggingFace tokenizers and transformer models.
- Neural Networks and Deep Learning
- Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
- Structuring Machine Learning Projects
- Convolutional Neural Networks
- Sequence Models