Partha Pratim Saha (@pps121)
github

pps121

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  • Stars
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    32
  • Global Rank 468,722 (Top 17 %)
  • Followers 16
  • Following 80
  • Registered about 8 years ago
  • Most used languages
    PHP
         50.0 %
    Jupyter Notebook
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  • Location 🇮🇳 India
  • Country Total Rank 17,563
  • Country Ranking
    PHP
         6,584

Top repositories

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Python-ML-_Work

Day-to-day work and findings on interesting things
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pps121.github.io

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Partha.github.io

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DemoDrupal

PHP
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hello-world

Demo hello-world
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HelloWorld

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demo

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ImageCaptioning

Image Captioning is the process of generating textual description of an image. It uses both Natural Language Processing and Computer Vision to generate the captions. The dataset will be in the form [image to captions]. The dataset consists of input images and their corresponding output captions. Encoder The Convolutional Neural Network can be thought of as an encoder. The input image is given to CNN to extract the features. The last hidden state of the CNN is connected to the Decoder. Decoder The Decoder is a Recurrent Neural Network(RNN) which does language modelling up to the word level. The first time step receives the encoded output from the encoder and also the START vector using Use Pretrained Resnet-50 model trained on ImageNet dataset (available publicly on google) for image feature extraction and created 4 layered RNN layer model and other relevant layers for image caption generation
Jupyter Notebook
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