Implementing Neural Network Models using Tensorflow
Dive into the fundamentals of deep learning and Tensorflow programming in this course. Learn how to implement basic Neural Network models using Tensorflow in Python. Discover what neural networks are, delve into multi-layer perceptrons, understand parameter learning with loss functions, and explore the real-world applications of vanilla neural networks with Tensorflow.
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Presentation Transcript
In this course, we will learn Fundaments of deep learning, Tensorflow programming Implementation of basic Neural Network models using Tensorflow python programming library.
At the end of this course, you will know - What is neural network? - What is Multi-layer perceptron - How to Learn parameters with loss functions - Implementation of basic vanilla neural network with Tensorflow, for various real world applications.
