What Will You Learn?
What you'll learn
- Build and train deep neural networks, identify key architecture parameters, implement vectorized neural networks and deep learning to applications
- Build and train RNNs, work with NLP and Word Embeddings, and use HuggingFace tokenizers and transformer models to perform NER and Question Answering
- 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
- Train test sets, analyze variance for DL applications, use standard techniques and optimization algorithms, and build neural networks in TensorFlow
About This Course
Provider: Coursera
Format: Online
Duration: 3 Months to complete [Approx]
Target Audience: Intermediate
Learning Objectives: Become a Machine Learning expert. Master the fundamentals of deep learning and break into AI. Recently updated with cutting-edge techniques!
Course Prerequisites: Knowledge about AI and Machine learning
Assessment and Certification:Yes
Instructor: Andrew Ng
Key Topics:
Linear Algebra
Artificial Intelligence
Tensorflow
Machine Learning
Computer Vision
Applied Machine Learning
Deep Learning
Artificial Neural Networks
Natural Language Processing
Debugging
Keras (Neural Network Library)
PyTorch (Machine Learning Library)
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