Deep Learning Interview Questions

Magnet12 · №1

I'm having difficulty understanding some of the deep-learning interview questions I've come across from an online resource. Specifically, I'm having trouble with some of the code examples. I'm hoping someone can provide some insight into how to approach these questions.

I've included some of the code examples below for reference. Any help would be greatly appreciated.

Example 1:

Выделить код

Код:

def deepLearningModel(data): 
  # Initialize weights 
  weights = np.random.rand(len(data[0])) 
 
  # Initialize bias 
  bias = 0 
 
  # Hyperparameters 
  learningRate = 0.1 
  numEpochs = 2000 
  # Train the model 
  for epoch in range(numEpochs): 
    # Calculate predicted values 
    preds = np.dot(data, weights) + bias 
    # Calculate gradients 
    gradients = 2 * np.dot(data.T, (preds - data[:,-1])) 
    weights -= learningRate * gradients 
    bias -= learningRate * np.sum(preds - data[:,-1]) 
 
  return weights, bias

Example 2:

Выделить код

Код:

def deepLearningModel(X, Y): 
  # Initialize weights 
  weights = np.random.rand(X.shape[1]) 
  # Initialize bias 
  bias = 0 
  # Hyperparameters 
  learningRate = 0.1 
  numEpochs = 2000 
  # Train the model 
  for epoch in range(numEpochs): 
    # Calculate predicted values 
    preds = np.dot(X, weights) + bias 
    # Calculate gradients 
    gradients = 2 * np.dot(X.T, (preds - Y)) 
    weights -= learningRate * gradients 
    bias -= learningRate * np.sum(preds - Y) 
  return weights, bias

Отредактировано Magnet12 (18-04-2023 12:20:41)

Полезная информация

№118-04-2023 12:19:11

Deep Learning Interview Questions

Код:

Код:

Board footer