Neural Newtworks

Spiking neural P systems represent a significant advancement in the field of membrane computing, drawing inspiration from the communication patterns observed in neurons. Since their inception in 2006, these distributed and parallel neural-like computing models have gained popularity and emerged as important tools within the membrane computing area. As a key branch of the third generation of artificial neural networks, a fascinating research area of artificial intelligence, spiking neural P systems offer a captivating blend of theoretical elegance and practical utility. Their efficiency, Turing completeness, and real-life application characteristics, including interpretability and suitability for large-scale problems, have positioned them at the forefront of contemporary research in membrane computing and artificial intelligence.

The Best Machine Learning Techniques for Data Science in Java and Neuroph with Application in Image Recognition

Learn to create Deep Learning Algorithms in Python from two Machine Learning & Data Science experts.

If you want to break into cutting-edge AI, this course will help you do so. Deep learning engineers are highly sought after, and mastering deep learning will give you numerous new career opportunities. Deep learning is also a new "superpower" that will let you build AI systems that just weren't possible a few years ago.

Boost your data science skills - learn to build and train complex neural network using the R program

Build up your intuition of the fundamental building blocks of Neural Networks.

You do not need coding or advanced mathematics background for this course. Understand how predictive ANN models work