Artificial Intelligence && Deep Learning

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2023-07-14 05:50:55 MLOps Masterclass

50% OFF on registration

Unlock your full potential with MLOps Masterclass

Learn to Design ML Pipelines to Build, Train,Deploy and Monitor your Machine learning models in a real-time production environment.

Register Now
https://bit.ly/mlops-masterclass-aug

Why you shouldn't miss this Masterclass?
15+ hands-on exercises.
2 Real-life industry projects.
Dedicated mentoring sessions from industry experts.
10 hours session consisting of theory + Hands-on.
One-on-One Debugging Session (Optional)

Schedule:
August 12th (Sat) & 13th (Sun)

Highlights of this Masterclass:
MLOps Introduction
Getting started with AWS for Machine Learning
AWS SageMaker Studio
CI/CD Tools
AWS MLOps Tools
AWS MLOps - Build, Train & deploy ML Model

Limited Seats Available!

Contact:
Sarath Kumar
+918940876397 / +918778033930 Open / Comment

2023-06-19 03:38:01 80+ Jupyter Notebook tutorials on image classification, object detection and image segmentation in various domains
Agriculture and Food
Medical and Healthcare
Satellite
Security and Surveillance
ADAS and Self Driving Cars
Retail and E-Commerce
Wildlife

Classification library
https://github.com/Tessellate-Imaging/monk_v1

Notebooks - https://github.com/Tessellate-Imaging/monk_v1/tree/master/study_roadmaps/4_image_classification_zoo

Detection and Segmentation Library
https://github.com/Tessellate-Imaging/

Monk_Object_Detection
Notebooks: https://github.com/Tessellate-Imaging/Monk_Object_Detection/tree/master/application_model_zoo

@deeplearning_ai Open / Comment

2023-06-16 13:40:32 Segment Anything in High Quality

We propose HQ-SAM to upgrade SAM for high-quality zero-shot segmentation. Refer to our paper for more details. Our code and models will be released in two weeks. Stay tuned!

https://github.com/syscv/sam-hq


@deeplearning_ai Open / Comment

2023-06-07 15:48:21 FREE TRAINING: Master MLOps for ML deployment and operations!

Join our FREE MLOps course demo and gain invaluable skills for AI and data science.

Reserve your seat now: https://bit.ly/mlops-program

What you'll gain:
ML model deployment techniques.
Efficient data management insights.
Explore latest MLOps tools.
Real-time interaction with expert instructors.

Limited spots available! Don't miss out!

Enroll now: https://bit.ly/mlops-program

Share with fellow ML enthusiasts! Open / Comment

2023-05-13 18:30:32 ImageBind: One Embedding Space To Bind Them All.

PyTorch implementation and pretrained models for ImageBind. For details, see the paper: ImageBind: One Embedding Space To Bind Them All.

ImageBind learns a joint embedding across six different modalities - images, text, audio, depth, thermal, and IMU data. It enables novel emergent applications ‘out-of-the-box’ including cross-modal retrieval, composing modalities with arithmetic, cross-modal detection and generation.

Source code: https://github.com/facebookresearch/imagebind

Paper: https://arxiv.org/pdf/2305.05665v1.pdf

@deeplearning_ai Open / Comment

2023-04-28 06:38:54 Machine Learning Operations (MLOps) Masterclass

Unlock your full potential with MLOps Masterclass

Learn to Design ML Pipelines to Build, Train,Deploy and Monitor your Machine learning models in a real-time production environment.

Register Now
https://bit.ly/MLOps-masterclass

Why you shouldn't miss this Masterclass?
15+ hands-on exercises.
2 Real-life industry projects.
Dedicated mentoring sessions from industry experts.
10 hours session consisting of theory + Hands-on.
One-on-One Debugging Session (Optional)

Who Should Attend?
This masterclass is perfect for Data scientists, ML engineers, Software engineers, and DevOps professionals.

Schedule:
May 27th (Sat) & 28th (Sun)

Highlights of this Masterclass:
MLOps Introduction
Getting started with AWS for Machine Learning
AWS SageMaker Studio
CI/CD Tools
AWS MLOps Tools
AWS MLOps - Build, Train & deploy ML Model

Limited Seats Available!

Contact:
Sarath Kumar
+918940876397 / +918778033930 Open / Comment

2023-04-25 11:30:47 Stanford CS330: Deep Multi-Task and Meta Learning.

While deep learning has achieved remarkable success in many problems such as image classification, natural language processing, and speech recognition, these models are, to a large degree, specialized for the single task they are trained for. This course will cover the setting where there are multiple tasks to be solved, and study how the structure arising from multiple tasks can be leveraged to learn more efficiently or effectively. This includes:

- self-supervised pre-training for downstream few-shot learning and transfer learning
meta-learning methods that aim to learn efficient learning algorithms that can learn new tasks quickly
- curriculum and lifelong learning, where the problem requires learning a sequence of tasks, leveraging their shared structure to enable knowledge transfer

Course Schedule and Materials:
https://cs330.stanford.edu/

GET Free Course Link

Join us: @deeplarning_ai Open / Comment

2023-04-06 04:34:17 Big News! Meta just released Segment Anything, a new AI model that can "cut out" any object, in any image/video, with a single click.

The model is designed and trained to be promptable, so it can transfer zero-shot to new image distributions and tasks.

https://segment-anything.com/

Check out https://AlphaSignal.ai to get a weekly summary of the top breakthroughs in Machine Learning.

@deeplearning_ai Open / Comment