understanding the dimensions in python arrays is a little bit tricky. one should understand its basics before jumping into its application and making operations.

**prerequisite**: having idea behind basic array in numpy, coding in python

let understand it through an example:

suppose we have a 2d array denoted by np_array_2d…

**SITUATION: **you and your boss are arguing about whether more sleep will make you more productive. you sleep for 7 hours every day and your boss is also aware of that fact.

first, we will make a hypothesis and NULL hypothesis from **your perspective** and then we will move on…

Fast RCNN are modified version of RCNN where a lot of differ comes with SPPNet.

- in SPPNet there were 3 to4 layers (0,1,2,3) of pooling where Fast-RCNN the only use one level of 7 by 7 (7x7) grid pooling (max pooling) and named it ROI pooling.
- they experimentally discover that…

`yvalue=np.zeros([256])`

for i in range(yvalue.size): #this yvalue and loop is only for using ploting y-axis (0-255)

yvalue[i]=i

print(np.shape(img))

for x in range(img.shape[0]):

for y in range(img.shape[1]):

rvalue[img[x,y,0]] = rvalue[img[x,y,0]]+1

gvalue[img[x,y,1]] = gvalue[img[x,y,1]]+1

bvalue[img[x,y,2]] = bvalue[img[x,y,2]]+1

#ploting histrogram

plt.plot(yvalue,rvalue,color='red')

plt.plot(yvalue,gvalue,color='green')

plt.plot(yvalue,bvalue,color='blue')

plt.show()

print(np.shape(img))

#want to know the number of pixels

total=0

for ccc in range(rvalue.size):

total=total+rvalue[ccc]

for ccc in range(gvalue.size):

total=total+gvalue[ccc]

for ccc in range(bvalue.size):

total=total+bvalue[ccc]

print(total)

#just showing the image

imgaa = Image.fromarray(img, 'RGB')

imgaa.save('test.png')

imgaa.show()

lets say A implies B (i.e A=>B).

Now consider A is son and B is Father. they both are arguing something. so if the father is wrong then son is also wrong (A is false and B is false=true) if the son is right then father must be right(A is true and B is true = true)

the son can be wrong but not the father (A is false and B is true= true)

but never can be son right and father false (A true and B is false= false)

The first time I encounter this word after started reading OverFeat paper. …