Bias, Weight Initialization, and Trainable Parameters in Neural Networks and Deep Learning

Bias, Weight Initialization, and Trainable Parameters in Neural Networks and Deep Learning

In this Neural Networks Tutorial, we will talk about Bias, Weight Initialization, And Trainable Parameters In Neural Networks. We are going to talk about the different trainable parameters we have in neural networks and how we can find the exact number.

In this Neural Networks Tutorial, we will talk about Bias, Weight Initialization, And Trainable Parameters In Neural Networks. We are going to talk about the different trainable parameters we have in neural networks and how we can find the exact number. We will also cover how the weights are initialized when we create a new neural network. We will take a look at the Keras API documentation for weight initialization and see how we can use it in our model from the previous videos in this tutorial.

Code examples and images from this tutorial will be available on my GitHub: https://github.com/niconielsen32​

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