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The idea behind the project is to generate captions for images using Deep Learning architecture.

Jupyter Notebook 100.00%
classification deep-learning image-captioning neural-network neural-networks rnn

image-captioning-bot's Introduction

Hi ๐Ÿ‘‹, I'm Daksh

dakshterhan

def skills_of_daksh():

  tech_with_proficiency={'Python':'Intermediate','SQL':'Intermediate','Content Writing':'Intermediate','Tableau':'Beginner'}
  tools = ['numpy','pandas','sklearn','matplotlib','seaborn','keras','tensorflow','pandas-profiling']
  publications_featured_in = ["TowardsDataScience", "TowardsAI", "The Startup", "DataDrivenInvestor", "Gitconnected"]
  active_blogger = True
  
  return โˆž

Daksh's Github Stats

Connect with me:

Daksh Trehan Daksh Trehan | LinkedIn Daksh Trehan | Medium Daksh Trehan | HackerRank Daksh Trehan | Kaggle Daksh Trehan | Twitter Daksh Trehan | Instagram

image-captioning-bot's People

Contributors

dakshtrehan avatar

Watchers

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image-captioning-bot's Issues

I'm having compatibility issues while running.

Encountered the following Error
File "D:\Anaconda\envs\img\lib\site-packages\tensorflow\python\eager\execute.py", line 60, in quick_execute
inputs, attrs, num_outputs)
tensorflow.python.framework.errors_impl.UnknownError: Failed to get convolution algorithm. This is probably because cuDNN failed to initialize, so try looking to see if a warning log message was printed above.
[[node model/conv1_conv/Conv2D (defined at prog.py:144) ]] [Op:__inference_predict_function_8041]

Im running this on
GTX 1050
i5 7300HQ
8GB RAM
python 3.6
cudatoolkit v 10.2.89
cudnn 7.6.5

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