Building our first neural network in TensorFlow explained step by step

In this tutorial part, we will build a deep neural network using TensorFlow. We'll use the same Cats vs Dogs data-set we used in our previous tutorials. But in this tutorial instead of using sigmoid, we'll use softmax function, so if you want you can add more classes to recognize. Also because we'll use softmax we need to change the shape of our labels, so I made convert_to_one_hot function, you know what it does if you watched my previous tutorial. Adding to this, our used data-shape will be a little different than we used before.

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[arjunsonani]

Sir, what was the previous video all about and if possible then please re upload the video

[shwolverine]

hi sir I hope you still reading comments I created this code in TensorFlow V2 and downloaded the cat and dog dataset from kaggle when I run the code it gives me zero after epochs something like this:
Cost after epoch 100:

i don't know what is wrong with the code i get the output just like your outputs. what do you think the problem might be?