swanandM

opt = optimizers.SGD(lr=0.01, decay=1e-6, momentum=0.9, nesterov=True)

model.compile(optimizer= opt, 
              loss='binary_crossentropy',
              metrics=['accuracy'])
              
Callbacks=[EarlyStopping(patience=3, restore_best_weights=True), 
           ReduceLROnPlateau(patience=2), 
           ModelCheckpoint(filepath='ImageDataGen_Size256_oneHOT_ClassWeights_Callbacks_SGD_L2.h5', save_best_only=True)]    

swanandM

visible = Input(shape=(256,256,3))
conv1 = Conv2D(16, kernel_size=(3,3), activation='relu', strides=(1, 1))(visible)
conv2 = Conv2D(16, kernel_size=(3,3), activation='relu', strides=(1, 1))(conv1)
bat1 = BatchNormalization()(conv2)
zero1 = ZeroPadding2D(padding=(1, 1))(bat1)

conv3 = Conv2D(32, kernel_size=(3,3), activation='relu', padding='valid', kernel_regularizer=regularizers.l2(0.05))(zero1)
conv4 = Conv2D(32, kernel_size=(3,3), activation='relu', padding='valid', kernel_regularizer=regularizers.l2(0.05))(conv3)
bat2 = BatchNormalization()(conv4)

swanandM

TrainData = ImageDataGenerator(
    width_shift_range= 0.2, height_shift_range= 0.2,
    rotation_range= 90, rescale = 1/255,
    horizontal_flip= True, vertical_flip=True)
    
ValidData = ImageDataGenerator(
    horizontal_flip=True)
    
columns = ['Normal', 'Mild NPDR', 'Moderate NPDR', 'Severe NPDR', 'PDR']    

swanandM

import numpy as np # linear algebra
import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)
import keras 

from tqdm import tqdm
import os
from sklearn.model_selection import train_test_split
from cv2 import cv2
from PIL import Image
import tensorflow as tf

swanandM

25 instructions to Install Hadoop 2.6 on Ubuntu Server 14.04- LTS.

1) (Execute all the commands as root user) #apt-get update
2) # apt-get install default-jdk
3) # java –version (Type this command)
4) # ssh-keygen -t rsa -P ''
(Press enter after this don’t put the file name)

5) # cat ~/.ssh/id_rsa.pub >> ~/.ssh/authorized_keys
6) # wget http://mirrors.sonic.net/apache/hadoop/common/hadoop-2.6.0/hadoop-2.6.0.tar.gz