Mikel  Okuneva

Mikel Okuneva

1604185200

Accelerate models with TFLite Delegates (TF Dev Summit '20)

Delegates enable TensorFlow Lite to run relevant parts of Neural Networks on other executors. In this talk, we give a brief overview of delegation and the available delegates in TFLite. We will also go over relevant tooling to assist users in choosing the right delegate and pointers for writing their own delegate.

#code #dev

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Accelerate models with TFLite Delegates (TF Dev Summit '20)
Mikel  Okuneva

Mikel Okuneva

1604185200

Accelerate models with TFLite Delegates (TF Dev Summit '20)

Delegates enable TensorFlow Lite to run relevant parts of Neural Networks on other executors. In this talk, we give a brief overview of delegation and the available delegates in TFLite. We will also go over relevant tooling to assist users in choosing the right delegate and pointers for writing their own delegate.

#code #dev

Houston  Sipes

Houston Sipes

1603800000

TF Lite Lens (TF Dev Summit '20)

Google Lens is a visual browser for the world around us. Bringing Lens’ server-side scene understanding abilities ondevice can impact the Lens user experience by lowering latency and increasing the reliability in poor network conditions. In this talk, we discuss a path to leveraging TFLilte to achieve the goal of powering Lens features ondevice.

#dev

Ray  Patel

Ray Patel

1619571780

Top 20 Most Useful Python Modules or Packages

 March 25, 2021  Deepak@321  0 Comments

Welcome to my blog, In this article, we will learn the top 20 most useful python modules or packages and these modules every Python developer should know.

Hello everybody and welcome back so in this article I’m going to be sharing with you 20 Python modules you need to know. Now I’ve split these python modules into four different categories to make little bit easier for us and the categories are:

  1. Web Development
  2. Data Science
  3. Machine Learning
  4. AI and graphical user interfaces.

Near the end of the article, I also share my personal favorite Python module so make sure you stay tuned to see what that is also make sure to share with me in the comments down below your favorite Python module.

#python #packages or libraries #python 20 modules #python 20 most usefull modules #python intersting modules #top 20 python libraries #top 20 python modules #top 20 python packages

Mikel  Okuneva

Mikel Okuneva

1604192400

ML solutions for Live Perception (TF Dev Summit '20)

Live Perception is a challenging scenario enabled by on-device ML, in real-time, and with low-latency. In this talk you will learn about best practices and how to use TensorFlow Lite and TF.js to enable Live Perception solutions by diving into the technical details of 3 unique ML solutions: Face Meshes, Hand Poses and Object cuboids.

#dev #code

Michael  Hamill

Michael Hamill

1617331277

Workshop Alert! Deep Learning Model Deployment & Management

The Association of Data Scientists (AdaSci), the premier global professional body of data science and ML practitioners, has announced a hands-on workshop on deep learning model deployment on February 6, Saturday.

Over the last few years, the applications of deep learning models have increased exponentially, with use cases ranging from automated driving, fraud detection, healthcare, voice assistants, machine translation and text generation.

Typically, when data scientists start machine learning model development, they mostly focus on the algorithms to use, feature engineering process, and hyperparameters to make the model more accurate. However, model deployment is the most critical step in the machine learning pipeline. As a matter of fact, models can only be beneficial to a business if deployed and managed correctly. Model deployment or management is probably the most under discussed topic.

In this workshop, the attendees get to learn about ML lifecycle, from gathering data to the deployment of models. Researchers and data scientists can build a pipeline to log and deploy machine learning models. Alongside, they will be able to learn about the challenges associated with machine learning models in production and handling different toolkits to track and monitor these models once deployed.

#hands on deep learning #machine learning model deployment #machine learning models #model deployment #model deployment workshop