Torch Training and Certification in Kuala Lumpur, Malaysia

This course provides an in-depth introduction to Torch, a powerful deep learning framework known for its flexibility and ease of use in training neural networks. Participants will learn how to build, train, optimize, and deploy deep learning models using Torch, covering key topics like tensor operations, automatic differentiation, neural network design, and model deployment.

Introduction to Torch and Tensors

• Overview of Torch and deep learning frameworks
• Installing and setting up Torch environment
• Working with Torch Tensors and tensor operations
• Introduction to automatic differentiation with Autograd

Building and Training Deep Learning Models

• Understanding Neural Networks (NN) package in Torch
• Implementing feedforward networks and activation functions
• Training models using loss functions and gradient descent
• Optimizing deep learning models with SGD, Adam, and RMSprop

Advanced Topics and Model Deployment

• Working with Recurrent Neural Networks (RNNs) and LSTMs
• Transfer learning and fine-tuning pre-trained models
• Deploying models using TorchScript for inference
• Hands-on: Deploying a deep learning model using Torch