vihar

viz_layer(activated_layer)
viz_layer(pooled_layer)

vihar

def viz_layer(layer, n_filters= 4):
    fig = plt.figure(figsize=(20, 20))
    
    for i in range(n_filters):
        ax = fig.add_subplot(1, n_filters, i+1)
        ax.imshow(np.squeeze(layer[0,i].data.numpy()), cmap='gray')
        ax.set_title('Output %s' % str(i+1))

fig = plt.figure(figsize=(12, 6))
fig.subplots_adjust(left=0, right=1.5, bottom=0.8, top=1, hspace=0.05, wspace=0.05)

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import torch
import torch.nn as nn
import torch.nn.functional as F
    

class Net(nn.Module):
    
    def __init__(self, weight):
        super(Net, self).__init__()
        # initializes the weights of the convolutional layer to be the weights of the 4 defined filters

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import numpy as np

filter_vals = np.array([
  [-1, -1, 1, 1],
  [-1, -1, 1, 1],
  [-1, -1, 1, 1],
  [-1, -1, 1, 1]
])

print('Filter shape: ', filter_vals.shape)

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import cv2
import matplotlib.pyplot as plt
%matplotlib inline

img_path = 'dog.jpg'

bgr_img = cv2.imread(img_path)
gray_img = cv2.cvtColor(bgr_img, cv2.COLOR_BGR2GRAY)

# Normalise

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img = np.squeeze(images[7])

fig = plt.figure(figsize = (12,12)) 
ax = fig.add_subplot(111)
ax.imshow(img, cmap='gray')
width, height = img.shape
thresh = img.max()/2.5
for x in range(width):
    for y in range(height):
        val = round(img[x][y],2) if img[x][y] !=0 else 0

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# Load the libraries
import torch
import numpy as np

from torchvision import datasets
import torchvision.transforms as transforms

# Set the parameters
num_workers = 0
batch_size = 20

vihar

Caravel.AI Intern Interview 2018

• Write a code snippet about how this works in JavaScript and explain it.

• Write a code snippet explaining forEach and map methods in JavaScript. Make your examples as creative as possible.

• Write a code snippet which takes in an E-mail from the user and validates it using a regular expression. The Email should start with the letter c and end with @caravel.ai(domain). It can contain three numbers at the end. The email should not exceed ten letters.

  • Examples: caravel127@caravel.ai, common@caravel.ai, cloud@caravel.ai

• Create a box in HTML with a gradient background color, whenever the page reloads the background color should be changing.

vihar

Caravel.AI Intern Interview 2018

• Write a code snippet about how this works in JavaScript and explain it. Your code should be restricted to 5 or 6 lines.

• Write about how synchronisation works in Java in two sentences with a code snippet.

• Write how you can build a website in 5 steps, your steps should include the name of the step(a creative one), little description(should be restricted to 3 sentences) and also code snippet. Your entire code snippet website code should not be more than 30 lines of code.

• What is JSON? Explain in detail, and write a small snippet in Python to generate a JSON type object for given string and explain the process.

vihar

import gym
import numpy as np
import random
from IPython.display import clear_output

# Init Taxi-V2 Env
env = gym.make("Taxi-v2").env

# Init arbitary values
q_table = np.zeros([env.observation_space.n, env.action_space.n])