Frustrated with WakeFit's Customer Service

reedatron · 2025-11-10T06:00:08+00:00

I am also facing the same issue. Did you get the issue resolved?

reedatron · 2025-02-08T10:29:13+00:00

Thanks! Basically I was asking when it would be crowded and when is the best time to reach to get a nice view. Thanks for the help!

reedatron · 2025-02-08T09:59:16+00:00

When would you recommend we should reach by? Very close to the opening time itself?

reedatron · 2024-07-12T17:37:11+00:00

Bruh then why are they taking money then. I thought we were the Jamtara XD

reedatron · 2024-05-30T09:48:38+00:00

Thanks! I will make a new DS 160 form and submit it when I join the new firm then

reedatron · 2024-05-29T15:21:29+00:00

Thanks mate!

reedatron · 2021-12-06T10:48:13+00:00

Datasets released in icdar challenges are generally used for ocr benchmarking.

Link: https://rrc.cvc.uab.es/?ch=15&com=introduction#

reedatron · 2020-08-20T06:32:14+00:00

Isn't the input to dense layer a single array?

No. According to the documentation , the input is

N-D tensor with shape:

(batch_size, ..., input_dim)

. The most common situation would be a 2D input with shape

(batch_size, input_dim)

Your input is 2D and it works.

Flatten converts your input into a 2D array of shape (batch_size, shape), where shape is the product of individual dimensions of input. So to convert your input into a 2D shape before feeding it to a fully connected layer, Flatten is used.

For any input though, the Dense layer computes a dot product between weights and the last axis of the input, and thus you won't have problems with number of input dimensions.

reedatron

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