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**Pag-aaral ng mga bagong kasanayan** ay isang mahusay na paraan upang matuklasan ang iyong mga talento at interes. Kumuha ng isang klase sa isang bagong wika, matutong tumugtog ng isang instrumento, o kumuha ng isang kurso sa pag-coding. Ang pag-aaral ng mga bagong kasanayan ay magbibigay sa iyo ng pakiramdam ng pagtitiwala sa sarili at pagpapahalaga sa sarili. Maaari kang magkaroon ng mga bagong layunin, at makatuklas ng mga bagong paraan upang maipahayag ang iyong sarili.
During training, the model adjusts its internal parameters (weights and biases) to minimize the loss function. You feed the training data in batches, and for each batch, the model computes the loss (how wrong the model's predictions are). The **optimizer** then uses this loss to update the model's parameters. This cycle repeats for a certain number of **epochs**. Monitoring the **loss** and **metrics** (like accuracy or precision) on the training and validation sets is critical to ensure the model is learning effectively and isn't overfitting. **Overfitting** happens when the model learns the training data too well, including its noise and idiosyncrasies. This results in the model performing poorly on new, unseen data.
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