Problem implementing a basic Neural Network with NumPy
I am trying to implement a basic neural network with an input layer of 1024 neurons, two hidden layers with 64 and 32 neurons respectively, and an output layer with 10 neurons, in NumPy.
The hidden layers are activated by the ReLU function while the output layer is activated by the sigmoid function.
Problem implementing a basic Neural Network with NumPy
I am trying to implement a basic neural network with an input layer of 1024 neurons, two hidden layers with 64 and 32 neurons respectively, and an output layer with 10 neurons, in NumPy.
The hidden layers are activated by the ReLU function while the output layer is activated by the sigmoid function.
Problem implementing a basic Neural Network with NumPy
I am trying to implement a basic neural network with an input layer of 1024 neurons, two hidden layers with 64 and 32 neurons respectively, and an output layer with 10 neurons, in NumPy.
The hidden layers are activated by the ReLU function while the output layer is activated by the sigmoid function.