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It was very good. However, I would be interested in the webinar because I have not figured out how to download a document from another site to my account as I was advised by the support person.
2017-12-15
I needed to submit an affidavit and didn't know where to begin and came across you site for the form and the free trial. I really appreciated the fact that you have the free trial available. Im' retired and do not need to use a lot of legal documents at this time. Thank you again.
2022-04-14
Being a small business
Being a small business, it was so delightful to be able to find and fill 1099s for my employees and not have to pay money up front. Thank you pdfFiller!
2022-02-01
PDFfiller is great. VERY HELPFUL fast support.
PDFfiller is a great app, with VERY HELPFUL support. Amazing under 40-second chat response from very sharp Kera.
2021-07-30
Dee was fabulous
Dee was fabulous! I was in a state of panic after not being able to find my file I had work soooo hard on for several days. She was so calm, helpful and supportive. Thank you so much!! Joyce Whitfield
2021-04-27
This program/software is very user friendly. When I started my 30 day trial, I just couldn't believe how comfortable I felt using this program. I'm very happy with it. I am happy that I was invited to a webinar, this will help me master the program.
2021-03-24
It would help to have some sort of tutorial outlining the all the functions. Having been offered a webinar during the 30 day free trial would've been helpful.
2020-07-27
EXCELLENT customer support
I had a great experience with PDFfiller. Although I was not able to keep my subscription with them, their customer support was fantastic and their services are great.
2020-06-01
I have used PDF filler for not only my work, but my daughter can use it for school work as well. PDF Filler is a well priced, useful product. I highly recommend. Thanks- Kelly Johnson, Cremation Center of Birmingham, AL
2020-04-29
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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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