PyTorch

Implementing AlexNet Using PyTorch As A Transfer Learning Model In Multi-Class Classification
Neural Networks TensorFlow

Implementing AlexNet Using PyTorch As A Transfer Learning Model In Multi-Class Classification

AlexNet is one of the popular variants of the convolutional neural network and used as a deep learning framework. In this article, we will employ the AlexNet model provided by the PyTorch as a transfer learning framework with pre-trained ImageNet weights. The network will be trained on the CIFAR-10 dataset for a multi-class image classification […]

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Deep Learning Python

Batch Norm in PyTorch – Add Normalization to Conv Net Layers

deeplizard shows us how to add batch normalization to a convolutional neural network. Content index: 00:00 Welcome to DEEPLIZARD – Go to deeplizard.com for learning resources 00:30 What is Batch Norm? 04:04 Creating Two CNNs Using nn.Sequential 09:42 Preparing the Training Set 10:45 Injecting Networks Into Our Testing Framework 14:55 Running the Tests – BatchNorm […]

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Machine Learning

How to Debug PyTorch Source Code

deeplizard teaches us how to set up debugging for PyTorch source code in Visual Studio Code. Content index: 00:00 Welcome to DEEPLIZARD – Go to deeplizard.com for learning resources 00:27 Visual Studio Code 00:55 Python Debugging Extension 01:30 Debugging a Python Program 03:46 Manual Navigation and Control of a Program 06:34 Configuring VS Code to […]

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AI

PyTorch DataLoader Source Code – Debugging Session

deeplizard debugs the PyTorch DataLoader to see how data is pulled from a PyTorch data set and is normalized. We see the impact of several of the constructor parameters and see how the batch is built. Content index: 0:00 Welcome to DEEPLIZARD – Go to deeplizard.com 0:45 Overview of Program Code 3:12 How to Use […]

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Deep Learning Python

PyTorch Dataset Normalization

deeplizard teaches us how to normalize a dataset. We’ll see how dataset normalization is carried out in code, and we’ll see how normalization affects the neural network training process. Content index: 0:00 Video Intro 0:52 Feature Scaling 2:19 Normalization Example 5:26 What Is Standardization 8:13 Normalizing Color Channels 9:25 Code: Normalize a Dataset 19:40 Training […]

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OpenAI fires up on PyTorch
AI TensorFlow

OpenAI fires up on PyTorch

This may be old news by now, but here’s an interesting write up on OpenAI’s decision to standardize development on PyTorch. OpenAI has opted to standardise its development on PyTorch, saying the move should make it easier for its developers “to create and share optimised implementations of our models”. The AI non-profit turned profit making […]

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PyTorch steps up to help handling larger than life models
AI Python

PyTorch Helps Handle Larger than Life Models

PyTorch is a project written in a combination of Python, C++, and CUDA which was mainly developed in Facebook’s AI research lab. It has shared a repository with deep learning framework Caffe2 since 2018 and is one of the main competitors to Google’s TensorFlow. Here’s a write up of a recent update that adds distributed model […]

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