How can a deep neural network with linear activations be reduced to a two-layer model?
7027
What is the purpose of a neural network activation function?
92956
Is it possible to train a neural network without backpropagation?
73225
local minima vs saddle points in deep learning
112504
How to set the number of neurons and layers in neural networks
140293
Learning a quadratic function using TensorFlow/Keras
8439
How to choose the number of hidden layers and nodes in a feedforward neural network?
4763
When generating samples using variational autoencoder, we decode samples from $N(0,1)$ instead of $\mu + \sigma N(0,1)$
84469
Is there a thumb-rule for designing neural-networks?
145791
What is batch size in neural network?
152715
What is the definition of a "feature map" (aka "activation map") in a convolutional neural network?
12304
State-of-the-art algorithms for the training of neural networks with GRU or LSTM units
145300
A list of cost functions used in neural networks, alongside applications
82269
Backpropagation algorithm and error in hidden layer
79824
Varied Activation Functions in Neural Networks
138385
Why does the first forward pass in a neural-network (NN) classification model computes to zero for all classes before final activation?
106029
How to prepare/augment images for neural network?
84451
Role derivative of sigmoid function in neural networks