The Association of Data Scientists (AdaSci), the premier world skilled physique of knowledge science and ML practitioners, has introduced a hands-on workshop on meta-learning on March 13, Saturday.
The unavailability of huge datasets has turned out to be an enormous downside in fixing essential challenges with machine learning and synthetic intelligence. As a matter of truth, deep studying’s progress usually will get impeded because of the unavailability of ample labelled data.
In many instances, it turns into difficult to gather a sufficiently giant variety of labelled information, which impressed many analysis efforts on exploring methods to coach strong fashions for varied studying duties past labelled information. Further, to coach complicated deep learning algorithms and fashions want excessive computational energy.
In this workshop, the attendees get to study meta-learning — a subfield of machine studying the place deep learning models are skilled with fewer information effectively. Known as ‘learning how to learn,’ meta-learning is an thrilling pattern in machine studying.
The full-day workshop on meta-learning will introduce subjects akin to few-shot studying; deep multi-task studying; parameter-level strategy; zero-shot, one-shot and low-shot studying and extra. The workshop may also talk about the implementation of various few-shot studying networks with PyTorch and TensorFlow, together with siamese; matching; prototypical; relational; and reminiscence augmented networks.
Additionally, the workshop will enable a hands-on implementation of meta-learning strategies with PyTorch and TensorFlow, together with mannequin agnostic meta-learning; meta-SGD; open AI’s reptile; area adaptive meta-learning; LSTM meta-learner; task-agnostic meta-learning and extra. Attendees may also achieve a complete understanding of the purposes of meta-learning within the healthcare sector, robotics, chatbots, faux information, and self-driving automobiles.
The contributors ought to have a fundamental to reasonable degree understanding of Python, in addition to fundamental data of Pandas, Numpy, Scikit-Learn, TensorFlow, PyTorch and Keras. The workshop would additionally anticipate the attendees to have a nodding acquaintance with deep studying, convolutional neural network and recurrent neural community, and familiarity with Google Colab and GPU setting.
Attendees additionally must have just a few instruments like an editor to run the python applications, ideally Google Colab Notebooks and set up Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch and Keras. A high-speed web connection is obligatory.
Upon finishing the workshop, the attendees will achieve hands-on expertise in meta-learning and few-shot studying and their purposes in AI and ML. They will be taught concerning the newest development in meta-learning and be geared up to kickstart picture classification utilizing meta-learning. Attendees may also get a certificates on hands-on meta-learning with Python.
Details of the workshop:
Date: March 13, 2021
Timings (Full day): 10:00 am to five:00 pm (IST)
Pricing: $12.99 (workshop is free for ADaSci members)
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