A Typical and simple neural network inputs would consist of 2 dimensions : Sample dimension Feature dimension To clarify their meaning, The length of Sample dimension of the given input indicates how many data items are we going to input, while the length of Feature dimension indicates how many data features does each data item […]
Tag: TensorFlow
Categories
Visualizing Training of Neural Networks
When I started working on neural networks deep learning projects, I was always curious about whats going on under the hood, observing TensorFlow’s output was not enough to realize how good my model really trains and it doesn’t provide enough clarity of how the model progresses towards the goal I want it to learn. After […]