- ISBN
- Author(s)
- Language
- Publisher
- Edition
- Edition
Neural Networks notes
Simon Haykin - ISBN: 9780139083853
- ISBN
- Author(s)
- Language
- Publisher
- Edition
- Edition
View all 1 notes for Neural Networks, written by Simon Haykin. All Neural Networks notes, flashcards, summaries and study guides are written by your fellow students or tutors. Get yourself a Neural Networks summary or other study material that matches your study style perfectly, and studying will be a breeze.
Best selling Neural Networks notes
1). What would happen if Artificial Neural Networks (ANN) did not have any bias (fixed input)? For instance, suppose that 'y' must be 5 when all inputs are 0. 2). What are the main similarities and differences between the functions 'logsig' and 'tanh'? 3). Indicate whether the next statements are true or false and explain: When the neutrons of an artificial neural network (ANN) use the LOGSIG function, the output values of the network cannot exceed a value of one no matter what input i...
- Study guide
- • 3 pages •
1). What would happen if Artificial Neural Networks (ANN) did not have any bias (fixed input)? For instance, suppose that 'y' must be 5 when all inputs are 0. 2). What are the main similarities and differences between the functions 'logsig' and 'tanh'? 3). Indicate whether the next statements are true or false and explain: When the neutrons of an artificial neural network (ANN) use the LOGSIG function, the output values of the network cannot exceed a value of one no matter what input i...
Do you have documents that match this book? Sell them and earn money with your knowledge!
Newest Neural Networks summaries
1). What would happen if Artificial Neural Networks (ANN) did not have any bias (fixed input)? For instance, suppose that 'y' must be 5 when all inputs are 0. 2). What are the main similarities and differences between the functions 'logsig' and 'tanh'? 3). Indicate whether the next statements are true or false and explain: When the neutrons of an artificial neural network (ANN) use the LOGSIG function, the output values of the network cannot exceed a value of one no matter what input i...
- Study guide
- • 3 pages •
1). What would happen if Artificial Neural Networks (ANN) did not have any bias (fixed input)? For instance, suppose that 'y' must be 5 when all inputs are 0. 2). What are the main similarities and differences between the functions 'logsig' and 'tanh'? 3). Indicate whether the next statements are true or false and explain: When the neutrons of an artificial neural network (ANN) use the LOGSIG function, the output values of the network cannot exceed a value of one no matter what input i...
Do you have documents that match this book? Sell them and earn money with your knowledge!
Why study with the book summaries on Stuvia?
Relevance, efficiency and convenience. These are important elements when studying or preparing for a course or exam. Studying with the help of book summaries, which are linked to the ISBN number of your (study) book, is more relevant than ever. Your fellow students or tutors are sharing their knowledge to help you prepare for your exams. Find the ISBN number of your book and you'll be sure to buy the right summary. That way you won't be faced with surprises during your exams.
All summaries on Stuvia are written by students who have already taken the exam, lecturers who teach the study material or professional publishers. As a result, you can be confident that you will understand the course material more easily and that the summary contains all elements that are tested in the exam. Find the book you need to study by its ISBN and choose the best textbook summary.