Dog_vs_cat-CNN

The Dogs vs. Cats dataset is a standard computer vision dataset that involves classifying photos as either containing a dog or cat. Although the problem sounds simple, it was only effectively addressed in the last few years using deep learning convolutional neural networks.

I use Google colab because my pc not have sufficient GPU power.(Suggest use Google Colab)

Link For Database : Kaggle Dogs & cat Images

Link For Different Kind of Filter : Image Kernels

For Making This type of CNN you need to understand about Few Technical Term like...

• Convolution
• Pooling (Max/Avg/Sum pooling)
• Flattening
• Fulling Connection
• Softmax Activation function
• Loss function

(1)Convolution

(2)Pooling

(3)Flattening

(4)Fulling Connection

(5)Softmax Activation function

(6)Loss function

(7)Summarize

😎Thank to fahadhussaincs For Make it easy😎