Questions

 

B20IT4116

S R K R Engineering College, Bhimavaram

Department of Information Technology

4/4 B. Tech Information Technology I Semester

SOC: Deep Learning

 

1.      Build a Convolution Neural Network for Image Recognition

               Links to Drive: (for Image Data)

 

https://drive.google.com/drive/folders/1shudwqEQnWl2RAFMo-Wu_nz59HD9Qs-U?usp=sharing

 

https://drive.google.com/drive/folders/1TxwerNZPte_EA_NXW3OgfxV9OORK4Hxa?usp=sharing

 

https://drive.google.com/drive/folders/1Dp9wcbo9qlsK3d_FvHcoNOUxKtGHkUIZ?usp=sharing

 

 

2.      Identifying age group of an actor

Design Artificial Neural Networks for Identifying and Classifying an actor using Kaggle Dataset.

 

MODEL:

https://drive.google.com/file/d/1RKTVY7JLgL35D4dFQ_2YZRFMC7ntSUvG/view?usp=sharing

IMAGES:

https://drive.google.com/drive/folders/1xhQJSzL_OL72YXBgdQD10_JmYpHPngLu?usp=sharing

3.      Design a CNN for Image Recognition which includes hyper parameter tuning.

Links to Drive: (for Image Data)

 

https://drive.google.com/drive/folders/1shudwqEQnWl2RAFMo-Wu_nz59HD9Qs-U?usp=sharing

 

https://drive.google.com/drive/folders/1TxwerNZPte_EA_NXW3OgfxV9OORK4Hxa?usp=sharing

https://drive.google.com/drive/folders/1Dp9wcbo9qlsK3d_FvHcoNOUxKtGHkUIZ?usp=sharing

 

 

4.      Implement a Recurrence Neural Network for Predicting Sequential Data.

Dataset link:

https://drive.google.com/drive/folders/1sJr_v80WIvfTc3FzHdB9B6M-iHDZVhkh?usp=sharing

5.      Removing noise from the images

Implement Multi-Layer Perceptron algorithm for Image denoising hyperparameter tuning

 

6.      Implement Object Detection Using YOLO

 

link to model, classes

 

https://drive.google.com/drive/folders/18KGfkGRmmznAjTBBRSrew6WfEUYdiuF6?usp=sharing

 

link to test images

https://drive.google.com/drive/folders/1ZwjomDmyZtsKD8Wi3IlwTUl7EkmOTF-M?usp=sharing

7.       Building and training an AlexNet-like model using the CIFAR-10 dataset in TensorFlow/Keras: and Test the model

link to images to predict:

 

https://drive.google.com/drive/folders/1S34ART1LbDlOJsEwxogRxsLCtq_BVAhc?usp=sharing

 

Model:

https://drive.google.com/file/d/1AJkDHOBl3S2n2HWaypXSNWFJAt-oWKhX/view?usp=sharing

 

8.       Demonstration of Application of Autoencoders. ( in Medical Image Anamoly detection)

Link to Image data:

 https://drive.google.com/drive/folders/1w7iQLa_eBAwDJLmcREQrnrLLR2LTRDRZ?usp=sharing

9.      Demonstration of GAN with image output

 

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