Yashk2810.github.io receives about 2383 visitors in one month. That could possibly earn $11.92 each month or $0.4 each day. Server of the website is located in the United States. Yashk2810.github.io main page was reached and loaded in 0.26 seconds. This is a good result. Try the services listed at the bottom of the page to search for available improvements.
Traffic and Value
| Is yashk2810.github.io legit? | |
| Website Value | $215 |
| Alexa Rank | 1961075 |
| Monthly Visits | 2383 |
| Daily Visits | 80 |
| Monthly Earnings | $11.92 |
| Daily Earnings | $0.4 |
Yashk2810.github.io Server Location
Country: United States
Metropolitan Area: Not defined
Postal Reference Code: Not defined
Latitude: 37.751
Longitude: -97.822
Summarized Content
Yashk2810 Main Page Content
| HTML Tag | Content | Informative? |
|---|---|---|
| Title: | Yash Katariya – CS Grad @ | Could be improved |
| Description: | CS Grad @ | Could be improved |
| H1: | Yash Katariya | Is it informative enough? |
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Internal Pages
| /about: | |
|---|---|
| Title |
About – Yash Katariya – CS Grad @ NCSU |
| Description |
CS Grad @ NCSU |
| H1 |
Yash Katariya |
| H3 |
Contact me |
| /Image-Captioning-using-InceptionV3-and-Beam-Search/: | |
|---|---|
| Title |
Image Captioning using InceptionV3 and Beam Search – Yash Katariya – CS Grad @ NCSU |
| Description |
Image Captioning is the technique in which automatic descriptions are generated for an image. In this blog post, I will tell you about the choices that I made regarding which pretrained network to use and how batch size as an hyperparameter can affect your training process. |
| H1 |
Yash Katariya |
| H2 |
Dataset |
| /Transfer-Learning/: | |
|---|---|
| Title |
Transfer Learning – Yash Katariya – CS Grad @ NCSU |
| Description |
Andrew Ng said during his widely popular NIPS 2016 tutorial that transfer learning, after supervised learning, will be the next driver of ML commercial success. |
| H1 |
Yash Katariya |
| H3 |
What is Transfer Learning? |
| /Neural-Style-Transfer/: | |
|---|---|
| Title |
Neural Style Transfer – Yash Katariya – CS Grad @ NCSU |
| Description |
Neural Style Transfer is the process in which content of an image and style of another image are combined together to create a new image. Prisma uses style transfer to transform your photos into works of art using style of famous artists. |
| H1 |
Yash Katariya |
| H2 |
Import the necessary libraries |
| /Applying-Convolutional-Neural-Network-on-the-MNIST-dataset/: | |
|---|---|
| Title |
Applying Convolutional Neural Network on the MNIST dataset – Yash Katariya – CS Grad @ NCSU |
| Description |
Convolutional Neural Networks have changed the way we cl ify images. It is being used in almost all the computer vision tasks. From 2012, CNN’s have ruled the Imagenet competition, dropping the cl ification error rate each year. MNIST is the most studied dataset (link). [censored]
|
| H1 |
Yash Katariya |
| H2 |
What is the MNIST dataset? |
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