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## №118-04-2023 12:19:11

Magnet12
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### Deep Learning Interview Questions

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))

# 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
gradients = 2 * np.dot(data.T, (preds - data[:,-1]))
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)
# 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
gradients = 2 * np.dot(X.T, (preds - Y))
bias -= learningRate * np.sum(preds - Y)
return weights, bias```

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

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