Cats vs Non-cats using Transfer Learning - Importing the Modules

We are going to use the following modules for this exercise:

INSTRUCTIONS

Import the following modules as instructed:
- import numpy as np
- import matplotlib's pyplot as plt
- import h5py
Import the following modules:
- Import tensorflow
```
import << your code comes here >>
```
- Import SGD from tensorflow.keras.optimizers
```
from tensorflow.keras.optimizers import << your code comes here >>
```
- Import Sequential from tensorflow.keras.models
```
from tensorflow.keras.models import  << your code comes here >>
```
- Import VGG16 from tensorflow.keras.applications
```
from tensorflow.keras.applications import  << your code comes here >>
```
- Import Input, Dense, Dropout, GlobalAveragePooling2D from tensorflow.keras.layers
```
from tensorflow.keras.layers import  << your code comes here >>
```
- Write the below code, to assign a seed value to NumPy and TensorFlow so as to make sure the output stable across runs:
```
np.random.seed(42)
tensorflow.random.set_seed(42)
```

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