This 12 weeks course presents an introduction to deep learning on modern Intel® architecture. Fundamental neural network architectures, feedforward networks, Convolutional networks, recurrent networks and using pre-trained models for best results are just some of the topics covered in this course. It will train you on:
- Techniques, terminology, and mathematics of deep learning
- Fundamental neural network architectures, feedforward networks, convolutional networks, and recurrent networks
- How to appropriately build and train these models
- Various deep learning applications
- How to use pre-trained models for best results
Learn here: https://software.intel.com/en-us/ai-academy/students/kits/deep-learning-501