Basic Backpropagation Implementation Not Working

I'm in the early stages of understanding backpropagation and I attempted to implement it myself. The dataset I attempted to work with was the iris dataset of size (150, 4). I'm only worried about backpropagation and not gradient descent, so I'm j...
more »

i am working on a neural network. I am exploring the effect of using a larger dataset for training. Currently i am getting crappy results. Any suggestions? I dont want to use any libraries other than numpy and please keep things simple. I am a GCSE s...
more »

how can I do a back propagation for a simple neural net with sigmoid activation?

I am a beginner in deep learning. I am currently struggled with the back propagation algorithms. I found this piece of code online of the back propagation of a simple neural net with sigmoid activation function. #Step 1 Collect Data x = np.array([[0...
more »

my neural network with backpropagation doesn't cope with big dataset (python, numpy)

I'm writing my first project in Python, which is the neural network. I have to use backpropagation algorythm to classify data and only pandas and numpy library. My problem is that I have pretty big dataset with 1043 rows and 8 columns and my program ...
more »

How to correctly train my Neural Network

I'm trying to teach a neural network to decide where to go based on its inputted life level. The neural network will always receive three inputs [x, y, life]. If life => 0.2, it should output the angle from [x, y] to (1, 1). If life < 0.2, it s...
more »