About: Pragati

How to Collect and review metrics during the training of your deep learning models and how to plots from the data collected during training

we have only one if statement in here and that’s to define our breakpoints on whether we’re doing WideLayout versus and NarrowLayout

The set_weights() method of keras accepts a list of NumPy arrays. The shape of this should be the same as the shape of the output of get_weights() on the same layer.

we need to understand whether or not the layer contains biases for each layer. If it is, then we simply add the number of biases. The number of biases will be equal to the number of nodes(filters) in the layer.

The idea of visualizing a feature map for a specific input image would be to understand what features of the input are detected or preserved in the feature maps.

ReLU has one problem which known as a dying neuron or a dead neuron problem if the input to a ReLU neuron is negative the output would be zero. Let’s understand how the gradient would flow in this kind of a situation.

If you run OpenCV on Google Colab it will look for the camera on the server and not the client computer. Since this code runs in javascript it uses the client’s computer. Since Colab is running in your browser, you need to use web APIs to access local hardware like a camera.