Clean up imports

[Json-To-String]

Surely some of the tensorflow and keras imports are unnecessary or could be optimized by just calling their parent module.

from keras import regularizers, optimizers
from keras.applications.vgg16 import preprocess_input

from sklearn.preprocessing import LabelEncoder
from sklearn.metrics import ConfusionMatrixDisplay
from sklearn.metrics import classification_report, confusion_matrix
from sklearn.model_selection import train_test_split
from sklearn.utils.multiclass import unique_labels

from tensorflow.keras import activations

from tensorflow.keras.models import Sequential, Model
from tensorflow.keras.layers import Activation, BatchNormalization, Conv2D, Dense, Dropout, Flatten, MaxPooling2D, GlobalAveragePooling2D
from tensorflow.keras.layers import Input, Conv2D, ZeroPadding2D, Flatten, AveragePooling2D, Dense, Activation, Add
from tensorflow.keras.preprocessing.image import ImageDataGenerator, array_to_img, img_to_array, load_img
from tensorflow.keras.optimizers import Adam
from tensorflow.keras.losses import CategoricalCrossentropy
from tensorflow.keras.regularizers import l2
from tensorflow.keras.callbacks import ReduceLROnPlateau, EarlyStopping

import SciServer.CasJobs as CasJobs # query with CasJobs, the primary database for the SDSS
import SciServer.SkyServer as SkyServer # show individual objects through SkyServer
import SciServer.SciDrive
import warnings