Topic 22 | Neural Networks |
AI Free Basic Course | Lecture 22 | Neural Networks In today lecture we will continue the Neural Network; in last lecture we gave the basic idea about what is to expect from neural network. Today we will explain the hyper parameters and its components. We will see the affect of the hyper parameter on the neural network. We will use playground and practice on notebook. At the end of lecture, we will implement a basic network using Tensor Flow. Today we will go through the things and would discuss the notebook in detail in tomorrow’s lecture that what does construct means in dense of Tensor flow, what does the layers do and what is loss function. What are possibilities to add in hidden layer and output layer. After practicing in TensorFlow you will get better idea about things. So, we will implement a neural network in TensorFlow and run it to see the outcome. Suppose we have few balls and our target is to through them in a basket placed at a distance of 10 meter. When ...
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