Neural Network Python | How to make a Neural Network in Python | Python Tutorial | Edureka
Taha GÖÇER
About this course
This comprehensive course provides an in-depth introduction to neural networks using Python. Key topics covered include the structure of neural networks, activation functions, feed forward and back propagation, perceptron training, and the significance of weights and biases. Through practical examples, learners will understand how to implement neural networks and utilize libraries like TensorFlow and NumPy.
What you should already know
Familiarity with Python programming and basic knowledge of machine learning concepts are necessary before taking this course.
What you will learn
By the end of this course, learners will be able to understand and implement basic neural networks in Python, effectively using key concepts such as weights, biases, activation functions, and training algorithms.