Courses Answers:
Course 1: Neural Networks and Deep Learning
Course 2: Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
Course 3: Structuring Machine Learning Projects
Course 4: Convolutional Neural Networks
Course 5: Sequence Models
About the course:
You’ll learn,
Build and train deep neural networks, identify key architecture parameters, implement vectorized neural networks and deep learning to applications
Train test sets, analyze variance for DL applications, use standard techniques and optimization algorithms, and build neural networks in TensorFlow
Build a CNN and apply it to detection and recognition tasks, use neural style transfer to generate art, and apply algorithms to image and video data
Build and train RNNs, work with NLP and Word Embeddings, and use HuggingFace tokenizers and transformer models to perform NER and Question Answering
Outcomes:
Advance your subject-matter expertise
- Learn in-demand skills from university and industry experts
- Master a subject or tool with hands-on projects
- Develop a deep understanding of key concepts
- Earn a career certificate from DeepLearning.AI
