Alexisbcook.github.io receives about 3822 visitors in one month. That could possibly earn $19.11 each month or $0.64 each day. Server of the website is located in the United States. Alexisbcook.github.io main page was reached and loaded in 0.46 seconds. This is a good result. Try the services listed at the bottom of the page to search for available improvements.
Is alexisbcook.github.io legit? | |
Website Value | $344 |
Alexa Rank | 1227512 |
Monthly Visits | 3822 |
Daily Visits | 128 |
Monthly Earnings | $19.11 |
Daily Earnings | $0.64 |
Country: United States
Metropolitan Area: Not defined
Postal Reference Code: Not defined
Latitude: 37.751
Longitude: -97.822
HTML Tag | Content | Informative? |
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Title: | Alexis | Could be improved |
Description: | Could be improved | |
H1: | Alexis Cook | Is it informative enough? |
H2: | Global Average Pooling Layers for Object Localization | |
H3: | Is it informative enough? |
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/2017/global-average-pooling-layers-for-object-localization/: | |
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Title |
Global Average Pooling Layers for Object Localization |
Description |
For image cl ification tasks, a common choice for convolutional neural network (CNN) architecture is repeated blocks of convolution and max pooling layers, followed by two or more densely connected layers. The final dense layer has a softmax activation function and a node for each potential object category. [censored]
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H1 |
Alexis Cook |
/2017/using-transfer-learning-to-cl [censorship] ify-images-with-keras/: | |
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Title |
Using Transfer Learning to Cl ify Images with Keras [censored]
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Description |
In this blog post, I will detail my repository that performs object cl ification with transfer learning. This blog post is inspired by a Medium post that made use of Tensorflow. The code is written in Keras (version 2.0.2) and Python 3.5. [censored]
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H1 |
Alexis Cook |
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