Adinath Nutriscience Interview Questions and Answers

DL architectures like CNNs require more computing power due to their complex structure and operations.

• The architecture of Ai Ml is simpler compared to other DL architectures like CNNs.

• It uses a single layer of neurons which reduces the number of computations required.

• It also uses a linear activation function which is computationally less expensive.

• Ai Ml is suitable for simpler tasks like linear regression and classification.

• In contrast, CNNs are used for complex tasks like im...read more

MobileNet is a lightweight deep learning model designed for mobile and embedded devices.

• MobileNet uses depthwise separable convolutions to reduce the number of parameters and computations.

• It has a small memory footprint and can be easily deployed on mobile and embedded devices.

• MobileNet has been used for various applications such as image classification, object detection, and semantic segmentation.

• It has achieved state-of-the-art performance on several benchmark datasets.

• Mobi...read more

Mobilenet is a lightweight DL architecture designed for mobile devices.

• Mobilenet uses depthwise separable convolutions to reduce computation and model size.

• It has fewer parameters and lower computational requirements compared to other DL architectures like VGG and ResNet.

• Mobilenet is optimized for mobile devices and can run in real-time on smartphones and other embedded devices.

• Other DL architectures like VGG and ResNet are designed for high accuracy on large datasets and req...read more

MobileNet is a lightweight deep learning architecture designed for mobile and embedded vision applications.

• MobileNet uses depthwise separable convolutions to reduce the number of parameters and computations.

• It has a small memory footprint and can be easily deployed on mobile devices.

• MobileNet has several variants, including MobileNetV1, MobileNetV2, and MobileNetV3.

• MobileNetV2 introduced linear bottlenecks and inverted residuals to improve accuracy and efficiency.

• MobileNetV3 ...read more

Creating topology involves defining the spatial relationships between features in a GIS dataset.

• Identify the features and their spatial relationships

• Determine the rules for the topology

• Use GIS software to create the topology

• Validate and correct errors in the topology

• Examples: connecting adjacent polygons, ensuring lines do not overlap

To create a shapefile in QGIS, follow these steps:

• Open QGIS and add a new layer

• Select the layer type as 'New Shapefile'

• Choose the geometry type and coordinate reference system

• Add attribute fields and save the shapefile

To create a geodatabase file, follow these steps:

• Open ArcCatalog or ArcMap

• Create a new folder for the geodatabase

• Right-click the folder and select New > File Geodatabase

• Name the geodatabase and click OK

• The geodatabase is now ready to use