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I applied via LinkedIn and was interviewed in Apr 2024. There was 1 interview round.
Dropout is a regularization technique to prevent overfitting by randomly setting some neuron outputs to zero during training. Batch Normalization is a technique to normalize the inputs of each layer to improve training speed and stability.
Dropout randomly sets a fraction of neuron outputs to zero during training to prevent overfitting.
Batch Normalization normalizes the inputs of each layer to improve training speed and...
YOLO (You Only Look Once) is a real-time object detection system that processes images in a single pass, while SSD (Single Shot MultiBox Detector) is another object detection model that also aims for real-time processing but uses a different approach.
YOLO processes images in a single pass, making it faster than SSD which requires multiple passes.
SSD uses a fixed grid of boxes at different aspect ratios and scales to de...
Confusion Matrix is a table that is often used to describe the performance of a classification model.
It is a 2x2 matrix that summarizes the predictions of a classification model.
It shows the number of true positives, true negatives, false positives, and false negatives.
It is useful for evaluating the performance of a model by calculating metrics like accuracy, precision, recall, and F1 score.
Optimizers in Deep Learning Models are algorithms used to minimize the loss function by adjusting the weights of the neural network.
Optimizers help in updating the weights of the neural network during training to minimize the loss function.
Popular optimizers include Adam, SGD, RMSprop, and Adagrad.
Each optimizer has its own way of updating the weights based on gradients and learning rate.
Choosing the right optimizer ca...
Right join includes all records from the right table and matching records from the left table, while inner join includes only matching records from both tables.
Right join keeps all records from the right table, even if there are no matches in the left table.
Inner join only includes records that have matching values in both tables.
Example: If we have a table of employees and a table of departments, a right join would in...
I was interviewed before Feb 2021.
House price prediction
I applied via Recruitment Consulltant and was interviewed in Oct 2024. There was 1 interview round.
I applied via Job Portal and was interviewed in Dec 2022. There were 2 interview rounds.
Faster-RCNN and Yolo v3 are both object detection algorithms, but differ in their approach and performance.
Faster-RCNN uses a two-stage approach, first generating region proposals and then classifying them.
Yolo v3 uses a single-stage approach, directly predicting bounding boxes and class probabilities.
Faster-RCNN is generally more accurate but slower, while Yolo v3 is faster but less accurate.
Faster-RCNN is better suit...
RNN uses techniques like gradient clipping, weight initialization, and LSTM/GRU cells to handle exploding/vanishing gradients.
Gradient clipping limits the magnitude of gradients during backpropagation.
Weight initialization techniques like Xavier initialization help in preventing vanishing gradients.
LSTM/GRU cells have gating mechanisms that allow the network to selectively remember or forget information.
Batch normaliza...
I applied via AmbitionBox and was interviewed in Mar 2022. There were 2 interview rounds.
Data science For 1 hr
I was interviewed in Oct 2024.
Transfer learning involves using pre-trained models on a different task, while fine-tuning involves further training a pre-trained model on a specific task.
Transfer learning uses knowledge gained from one task to improve learning on a different task.
Fine-tuning involves adjusting the parameters of a pre-trained model to better fit a specific task.
Transfer learning is faster and requires less data compared to training a...
2 hours of coding with 2 Questions
I applied via Indeed and was interviewed before Sep 2023. There was 1 interview round.
based on 1 interview
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8-10 Yrs
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4-6 Yrs
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General Manager Technology
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Biocon Limited
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DIVI'S Laboratories