Merge pull request #28 from JatinKumar9/patch-10

Update Oceanverse.md

Oceanverse.md

@@ -2362,12 +2362,12 @@ c) What kind of values you need in a filter used for blurring an image?
 
 141.Apply the following filter F on an image M and observe the dimensions of the output. Are the same as previous?  
 
-142.Given a 32*32*3-RGB image, calculate the output dimensions after applying a convolutional layer with 16 filters, each of size 3x3, with a stride of 1 and with no padding. Also find the general formula.  
+142.Given a $$ 32 \ast 32 \ast 32 $$RGB image, calculate the output dimensions after applying a convolutional layer with 16 filters, each of size 3x3, with a stride of 1 and with no padding. Also find the general formula.  
 
 143.What is purpose of applying a pooling layer on an image. How is it different from convolution layer?  
 
-144.a)Apply $$ 2 \* 2 $$ Max pooling on the following image.    
-b) Apply $$ 2 \* 2 $$ avg pooling on the following image.  
+144.a)Apply $$ 2 \ast 2 $$ Max pooling on the following image.    
+b) Apply $$ 2 \ast 2 $$ avg pooling on the following image.  
 c) What are the dimensions of the image after pooling? Does pooling change the depth of the image?  
 d)Why don't we use Min pooling?  
 
@@ -2379,8 +2379,8 @@ d)Why don't we use Min pooling?
 
 147.For a weight W with a gradient ∂L/∂W=0.01, a learning rate α=0.1, and an initial weight W0=0.5, compute the updated weight using gradient descent.  
 
-148.a) Differentiate $$ \frac{1}{ 1 + e^{-x} } $$ with respect to \(x\).
-b) Differentiate $$ -\log(2x^2) $$ with respect to \(x\).  
+148.a) Differentiate $$ \frac{1}{ 1 + e^{-x} } $$ with respect to \(x\).  
+b) Differentiate $$ -\log(2x^2) $$ with respect to \(x\).    
 c) Differentiate $$ \frac{e^i}{ \sum e^k } $$ with respect to \(i\) and \(j\).
 
 149.Given is a single neuron, let the loss L be (z_cap - z)^2, find ∂L/∂w_11 and ∂L/∂p2.