Deep Learning

Description

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.

Syllabus :

• Neural Networks and Deep Learning
• Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
• Structuring Machine Learning Projects
• Convolutional Neural Networks
• Sequence Models