Cat-or-Dog-Image-Classification-Using-CNN-DL-

I started learning Deep Learning and it's my first project on it. I did took help from few youtube videos and documentations.

DataSet Used

dogs vs cats

Requirements

• Kaggle Account
• Tensorflow
• Keras
• CV2

Steps to get your kaggle.json (kaggle api) :

• Step-1: Goto Kaggle.com and sign in with your account.
• Step-2: Goto Your Profile -> Account -> API
• Step-3: Click on "Create New Token" and it will download 'kaggle.json' which would contains the api linking to your kaggle account.

• Step-4: Goto the dataset, here you can either download( by clicking on the Download button ) or you can use the kaggle api to let google collab download it for you.

To use the API method, just Click on the 3 dots -> Copy API Command.

Then , just put this into your notebook cell:

!mkdir -p ~/.kaggle

!cp kaggle.json ~/.kaggle

!the_api_command_you_just_copied

Steps to install the required modules:

1. Tensorflow

   pip install tensorflow
   
   

   pip install tensorflow-gpu
   

2. Keras

   pip install keras
   

3. OpenCV

   pip install opencv-python
   
   

Since I didn't had a powerful GPU in my system so I used Google Colab to run my notebook. It came pre-installed with the modules needed for the project.

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Feel Free to use and explore my project.

Have a Good Day : )