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What our customers say about pdfFiller
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The Popups that direct you to what to fill in are annoying. Would like to be able to turn off. Other than that Love PDF Filler Way better than my current management system's accords!
2017-08-02
Excellent support and customer service
I registered for an annual membership, but I didn't pay attention that the membership fee is calculated in US dollars. I live in Canada and it was expensive for me. I emailed support department to cancel my membership and they responded in less than an hour and sent me a full refund.
I appreciate the excellent customer service and proper support, polite and professional behavior of the staff.
2023-07-02
REALLY GREAT SOFTWARE
REALLY GREAT SOFTWARE, I COULD NOT IMAGINE THE THINGS YOU CAN DO WITH ONE CLICK ON THIS SOFTWARE TO EDIT PDFs, ADD SIGNATURES AND STAMP WAS TOO EASY
2023-05-30
easy to find relevant documents
easy to find relevant documents. Appreciate the option to print them or fill them out online. Appreciate how organized the site is and how thorough the collection of documents you have available. Also appreciate being able to write my own signature.
2023-03-24
its pretty user friendly even for an…
its pretty user friendly even for an old fart like me.. gets the job done and has plenty of neat features
2021-10-02
I had to fill out a form
I had to fill out a form, sign it electronically and e-mail it. At first, the form came up as a print copy. I was unable to fill it in online. Thanks to pdfFiller.com I was able to accomplish what I had to.
2021-08-12
for someone that is not comfortable with dealing with computers pdfiller made it easy for me to fill out a pdf form that is important in my daily job. Thank you
2021-02-18
What do you like best?
The app notifies me of when someone fills out my form.
What do you dislike?
The integration from the link in the email to the app on my phone. For some reason, there is a disconnect.
Recommendations to others considering the product:
If you have customizations and processes you wish to conform E-signature function in your documents, PDF Filler is a great tool. Great for contract-heavy and approval-required documents for our business. Great for folks who have medium to advanced level of word processing abilities and technical capabilities with graphic apps. If that's you, you will be a quick study. If you find it dificult to work in a Word document or Powerpoint or other types of programs, this app will have a learning curve for you.
What problems are you solving with the product? What benefits have you realized?
I cut down my use of paper and ink.
I save time by modifying PDF's within the application.
I can merge multiple documents.
It has streamlined processes in our business to get paid faster and run more efficiently.
2021-02-16
A little difficult to manuever around but it does what I need very well! Not sure about email feature...recipients did not receive but I did when I cc'd myself.
2020-09-04
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What is model fine-tuning?
Fine-tuning is a process to take a network model that has already been trained for a given task, and make it perform a second similar task.
What is model tuning?
Tuning Machine Learning Models. Tuning is the process of maximizing a model's performance without overfitting or creating too high of a variance. Hyperparameters differ from other model parameters in that they are not learned by the model automatically through training methods.
What are tuning parameters?
A tuning parameter (), sometimes called a penalty parameter, controls the strength of the penalty term in ridge regression and lasso regression. It is basically the amount of shrinkage, where data values are shrunk towards a central point, like the mean.
What is hyper tuning?
In machine learning, hyperparameter optimization or tuning is the problem of choosing a set of optimal hyperparameters for a learning algorithm. A hyperparameter is a parameter whose value is used to control the learning process. By contrast, the values of other parameters (typically node weights) are learned.
Does model tuning help to increase the accuracy?
Model tuning helps to increase the accuracy of a machine learning model. Explanation: Tuning can be defined as the process of improvising the performance of the model without creating any hype or creating over fitting of a variance.
How do you fine tune a network?
The common practice is to truncate the last layer (soft max layer) of the pre-trained network and replace it with our new soft max layer that are relevant to our own problem. Use a smaller learning rate to train the network.
What does fine-tuning a network mean?
Fine-tuning is a process to take a network model that has already been trained for a given task, and make it perform a second similar task.
What is fine-tuning in transfer learning?
Fine-tuning is one approach to transfer learning. In Transfer Learning or Domain Adaptation we train the model with a dataset, and after we train the same model with another dataset that has a different distribution of classes, or even with other classes than in the training dataset).
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