PyTorch Training in Pallikaranai, Chennai

PyTorch is one of the Deeplearning framework increase in usage of industry. unless TensorFlow, PyTorch has rich ecosystem libraries and tools for to support develpment.


  • 1 Captum - Model Interpretability libraries for PyTorch. Using Captum to understand which of the features were most important and how the network reached its prediction.
  • 2Glow - Glow is a machine learning compiler that accelerates the performance of deep learning frameworks on different hardware
  • 3PyText - Deep-learning based NLP modeling framework built on PyTorch.
  • 4PyG - PyTorch Geometric - New field of machine learning that can learn from complex and irregular data like graph, point clouds,manifolds and multi-dimensional points.
  • 5 Skorch - A libraries for scikit-learn lovers. skorch is a wrapper to use sklearn on PyTorch.
  • 6 Torchbearer - A model fitting libraries. Can use torchbearer to train over multiple nodes. Aim is to dramatically reduce the amount of boilerplate code.

DeepLearning With PyTorch - Training Syllabus


Module 1 – Introduction to Deep Learning and PyTorch

  • Discover the basic concepts of deep learning
  • Implement a neural network in NumPy
  • live project : Build a neural network to predict students admissions
  • PyTorch - How its changing the future of deep learning

Module 2 – Deep Learning with PyTorch

  • Build your first neural network with PyTorch
  • An introduction to computer vision
  • Hands-on : classify images of clothing
  • Discover the major components of PyTorch
  • Live project : Building Image classifier

Module 3 – Convolutional Neural Networks (CNN) in PyTorch

  • Exploring a Larger Dataset
  • Live project : Build CNN for Computer Vision application
  • Train your data using PyTorch
  • Pooling operatos and Dropouts
  • Problem of overfitting
  • Live Project : Image classification
  • Style Transfer - Merging Style and content from different images

Module 4 – Recurrent Neural Networks (RNN) in PyTorch

  • Building RNN with PyTorch
  • Learn RNN using NLP
  • Hyperparameter tuning
  • Live Project : Finding Next word should be

Module 5 - Natural Language Classification

  • Text Pre-processing
  • Implement RNN for text Classification
  • Word Embeddings
  • Live Project : Predict Sentiment in reviews

Module 6 - Deep Learning Deployment

  • How to - Deploy DL model with PyTorch
  • Build a chatbot
  • Compile network for Deployment
  • Production ready chatbot

Morethen 60% industry experts using TensorFlow for solving Deeplearning task.PyTorch is gaininig momentum with its rich ecosystem tools. Interested in TensorFlow?

SPLASH - Aim to focus DATA - Training, consulting and Projects implementation. check out our list our data training courses.