Muhammad Imad

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Questions related from Muhammad Imad

What is ‘training Set’ and ‘test Set’ in a Machine Learning Model? How Much Data Will You Allocate for Your Training, Validation, and Test Sets?

There is a three-step process followed to create a model: Train the model Test the model Deploy the model Training Set The training set is examples given to the model to analyze and learn 70% of...

17 December 2022 5,385 2 View

How Do You Handle Missing or Corrupted Data in a Dataset?

One of the easiest ways to handle missing or corrupted data is to drop those rows or columns or replace them entirely with some other value. There are two useful methods in Pandas: IsNull() and...

17 December 2022 1,912 1 View

What is overfitting and How to prevent overfitting?

Overfitting is a type of modeling error that results in the failure to predict future observations effectively or fit additional data in the existing model. It occurs when a function is too...

08 December 2022 2,495 5 View

Say you have to build a neural network architecture; how will you decide how many neurons and hidden layers are needed for the network?

Given a business problem, there is no hard and fast rule to determine the exact number of neurons and hidden layers required to build a neural network architecture. The optimal size of the hidden...

06 December 2022 5,632 2 View

Which environment is better between Matlab and Python to design deep learning models?

Based on your expertise, which environment do you find the better between Matlab and Python to design deep learning models? Python is free and you have a lot of libraries, but in the case you have...

03 December 2022 1,585 4 View

Best performance evaluation metrics for image Classification, Detection, Segmentation?

1. Similarity Index = 2*TP/(2*TP+FP+FN) 2. Correct detection Ratio = TP/TP+FN 3. Segmentation errors (OSE, USE, TSE) 4. Hausdorff Distance 5. Average Surface distance 6. Accuracy =...

03 December 2022 7,396 3 View

What Is the Cost Function?

Also referred to as “loss” or “error,” cost function is a measure to evaluate how good your model’s performance is. It’s used to compute the error of the output layer during backpropagation. We...

01 January 1970 568 2 View

What Is the Role of Activation Functions in a Neural Network?

At the most basic level, an activation function decides whether a neuron should be fired or not. It accepts the weighted sum of the inputs and bias as input to any activation function. Step...

01 January 1970 526 0 View

What Is Gradient Descent?

Gradient Descent is an optimal algorithm to minimize the cost function or to minimize an error. The aim is to find the local-global minima of a function. This determines the direction the model...

01 January 1970 3,076 0 View