This repo contains my coursework, assignments, and Slides for Natural Language Processing Specialization by deeplearning.ai on Coursera
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Updated
Sep 17, 2023 - Jupyter Notebook
This repo contains my coursework, assignments, and Slides for Natural Language Processing Specialization by deeplearning.ai on Coursera
This repository contains my full work and notes on Coursera's NLP Specialization (Natural Language Processing) taught by the instructor Younes Bensouda Mourri and Łukasz Kaiser offered by deeplearning.ai
Programming assignments from all courses in the Coursera Natural Language Processing Specialization offered by deeplearning.ai.
[ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware
A Generative Adversarial Networks (GANs) Specialization made by deeplearning.ai on Coursera
Tensorflow Advanced Technique Specialization
Deeplearning.AI TensorFlow Advanced Techniques Specialization Solution
[ACL'20] HAT: Hardware-Aware Transformers for Efficient Natural Language Processing
TensorFlow: Advanced Techniques Course material on cousera this repository is for learning purpose.
Assignment soultions for AI for Medicine Specialization course from coursera. Please use only for reference.
My coursework for the Accelerated Computer Science Fundamentals Specialization on Coursera
Deep Learning Specialization on Coursera
Deeplearning.AI Generative Adversarial Networks (GANs) Specialization Solution
Solutions to DeepLearning.AI Generative Adversarial Networks (GANs) Specialization
NLP Specialization (Natural Language Processing) made by deeplearning.ai
This repo consists of the lecture PDFs and quiz solutions of all the courses under the IBM Data Science Professional Certificate specialization course of Coursera.
Coursera Advanced Machine Learning Specialization by National Research University Higher School of Economics
Coursera Specialization TensorFlow Data and Deployment
Miniboxing is a program transformation that improves the performance of Scala generics when used with primitive types. It can speed up generic collections by factors between 1.5x and 22x, while maintaining bytecode duplication to a minimum. You can easily add miniboxing to your sbt project:
This repo contains my work & The code base for this TensorFlow Developer specialization offered by deeplearning.AI
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