The [course_title] course teaches the mathematical concepts for understanding nonlinearity and feedback in neural networks. The course focuses the organisation of the synaptic connectivity of the brain through the explanation from both neurobiology and computer science. You will learn Perceptrons and dynamical theories of recurrent networks including amplifiers, attractors, and hybrid computation. Other topics covered in the course are backpropagation and Hebbian learning, pattern recognition, models of perception, motor control, memory, and neural development.

Assessment

This course does not involve any written exams. Students need to answer 5 assignment questions to complete the course, the answers will be in the form of written work in pdf or word. Students can write the answers in their own time. Each answer need to be 200 words (1 Page). Once the answers are submitted, the tutor will check and assess the work.

Certification

Edukite courses are free to study. To successfully complete a course you must submit all the assignment of the course as part of assessment. Upon successful completion of a course, you can choose to make your achievement formal by obtaining your Certificate at a cost of £49.

Having an Official Edukite Certification is a great way to celebrate and share your success. You can:

• Add the certificate to your CV or resume and brighten up your career
• Show it to prove your success

Course Credit:  MIT