Once logged in your JupyterLab we are ready to start our machine learning experiments. I've setup a Github repo containing some useful Jupyter Notebooks ready to use for the training of a BERT model. Moving on the JupyterLab section for managing GIT repos, you should see a blue button name...
Using our VQA system: Local notebook and Colab Method 2: BERT + ViT -> GPT-2 (Fusion) Train the VQA Model and use it here Diffusion - Exploring Diffusion Models and Fine-tuning techniques like Dreambooth Intro to Diffusion (StableDiff + Flux): Generating images using diffusion models ...
Jupyter Notebook (local run) run experiment in the local environment use Mimic Explainer for computing feature importance deploy the best model along with the explainer to an Azure Kubernetes (AKS) cluster, which will compute the raw and engineered feature importances at inference time Predict...
Custom model training is best done on PCs or devices with powerful GPUs. Google Colab is one such platform. It’s a cloud-based Jupyter Notebook environment that allows the execution of Python codes. It offers both free and paid GPUs to train machine learning models. To get started, install...
How can you deploy a machine learning model into production? That's where we use Flask, an awesome tool for model deployment in machine learning.
works well, but students need some convincing. Students are amazed at the “cool things” they can make in Snap!. But some students said that it wasn’t “real” programming. One student said that it was “demeaning” at first to be asked to use blocks-based programming, but then they...
Create the following density on the sepal_length of iris dataset on your Jupyter Notebook. import seaborn as sns df = sns.load_dataset('iris') Show Solution Iris Histograms 9. What next Congratulations if you were able to reproduce the plot. You might be interested in the matplotlib tutori...
to the main links in the AI production process (MLOps), it supports AI data set management, AI model development, training, evaluation, and model inference services; and through a unified command line tool, multi-language SDK and console interface, Support users to use directly or customize ...
Create the following density on the sepal_length of iris dataset on your Jupyter Notebook. import seaborn as sns df = sns.load_dataset('iris') Show Solution Iris Histograms 9. What next Congratulations if you were able to reproduce the plot. You might be interested in the matplotlib tutori...
Use OpenVINO by Python API The flow of using OpenVINO for inference:MD The vision example of person detection:notebook The text example of question answering using BERT:notebook Jetson Series Jetson series are provided and supported by NVidia and target the solution of the edge AI. However, now...