PyTorch

AI TensorFlow

Process Images for Fine-Tuned MobileNet with TensorFlow’s Keras API

In this deeplizard episode, learn how to prepare and process our own custom data set of sign language digits, which will be used to train our fine-tuned MobileNet model in a future episode. VIDEO SECTIONS 00:00 Welcome to DEEPLIZARD – Go to deeplizard.com for learning resources 00:40 Obtain the Data 01:30 Organize the Data 09:42 […]

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AI Azure

OSS Framework Support in Azure Machine Learning Service

Learn how Azure ML supports Open Source ML Frameworks and MLflow in AzureML. Take a walk through a ScikitLearn and Pytorch example to show the built in support for ML frameworks. Learn More: Azure ML Examples https://aka.ms/AIShow/AzureMLExamples Azure ML Curated Environments https://aka.ms/AIShow/AMLCuratedEnvironments Track and Monitor ML Flow https://aka.ms/AIShow/TrackandMonitorMLFlow Create a Free account (Azure) https://aka.ms/aishow-seth-azurefree Deep […]

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AI Computer Vision Mobile

MobileNet Image Classification with TensorFlow’s Keras API

deeplizard  introduces MobileNets, a class of light weight deep convolutional neural networks that are vastly smaller in size and faster in performance than many other popular models. VIDEO SECTIONS 00:00 Welcome to DEEPLIZARD – Go to deeplizard.com for learning resources 00:17 Intro to MobileNets 02:56 Accessing MobileNet with Keras 07:25 Getting Predictions from MobileNet 13:32 […]

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Data Science Databricks

Scaling Up AI Research to Production with PyTorch and MLFlow

PyTorch, the popular open-source ML framework, has continued to evolve rapidly since the introduction of PyTorch 1.0, which brought an accelerated workflow from research to production. In this video, take a deep dive on some of the most important new advances, including model parallel distributed training, model optimization and on device deployment as well as […]

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Neural Networks TensorFlow

Predict with a Fine-Tuned Neural Network with TensorFlow’s Keras API

In this video, Mandy from deeplizard  demonstrates how to use the fine-tuned VGG16 Keras model that we trained in the last episode to predict on images of cats and dogs in our test set. Index: 00:00 Welcome to DEEPLIZARD – Go to deeplizard.com for learning resources 00:17 Predict with a Fine-tuned Model 05:40 Plot Predictions […]

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Tutorial: Train a Deep Learning Model in PyTorch and Export It to ONNX
TensorFlow

Tutorial: Train a Deep Learning Model in PyTorch and Export It to ONNX

In this tutorial, see how you can train a Convolutional Neural Network in PyTorch and convert it into an ONNX model. Once the model is in in ONNX format, you can import that into other frameworks such as TensorFlow for either inference and reusing the model through transfer learning. This post is the third in […]

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AI Neural Networks

Create a Confusion Matrix for Neural Network Predictions

deeplizard demonstrates how to create a confusion matrix, which will aid us in being able to visually observe how well a neural network is predicting during inference. VIDEO SECTIONS 00:00 Welcome to DEEPLIZARD – Go to deeplizard.com for learning resources 00:34 Plotting a Confusion Matrix 02:48 Reading a Confusion Matrix 04:56 Collective Intelligence and the […]

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