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Pytorch Course

Pytorch Course
from 4 to 360h flexible workload
certificate recognized by the MEC

What will I learn?

Unnuh fi unlock di power a PyTorch widi course ya weh pack tight fi technology professional dem. Dive deep inna neural network design, an' master nn.Module, activation function dem, an' feedforward network. Tek whey yu han dem dutty wid experience inna setting up environment, data pre-processing, an' model evaluation. Learn fi document code proper an' optimize training wid loss function dem an' optimizer. Mek yu project submission dem shine wid wi detailed guideline dem. Elevate yu skill dem wid high-quality, practical an' concise learning.

Elevify advantages

Develop skills

  • Master PyTorch: Build an' optimize neural network dem wid PyTorch expertise.
  • Data Preprocessing: Acquire an' normalize data fi smooth model training.
  • Neural Network Design: Create an' implement effective feedforward network dem.
  • Model Evaluation: Assess an' enhance model performance an' accuracy.
  • Code Documentation: Write clear, concise, an' effective code documentation.

Suggested summary

Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.
Workload: between 4 and 360 hours

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Really great course. Lots of valuable information.
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