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.

Content from Coursera's ADVANCED MACHINE LEARNING Specialization (Deep Learning, Bayesian Methods, Natural Language Processing, Reinforcement Learning, Computer Vision).

This Repository Contains Solution to the Assignments of the Natural Language Processing Specialization from Deeplearning.ai on Coursera Taught by Younes Bensouda Mourri, Łukasz Kaiser, Eddy Shyu

TensorFlow in Practice Specialization. Join our Deep Learning Adventures community 🎉 and become an expert in Deep Learning, TensorFlow, Computer Vision, Convolutional Neural Networks, Kaggle Challenges, Data Augmentation and Dropouts Transfer Learning, Multiclass Classifications and Overfitting and Natural Language Processing NLP as well as Time Series Forecasting 😀 All while having fun learning and participating in our Deep Learning Trivia games 🎉 http://bit.ly/deep-learning-tf

This is all my notebooks, lab solutions, and assignments for the DeepLearning.AI Natural Language Processing Specialization on Coursera.

NLP Specialization (Natural Language Processing) made by deeplearning.ai

Offered by Deeplearning.ai via Coursera

吴恩达老师在2020年6月份推出了NLP课程，网址如下：https://www.deeplearning.ai/natural-language-processing-specialization/。本人忙里偷闲将老师的视频和作业都完成了，后续会持续更新课程的资料和作业。

My class notebooks and assignments for Coursera Natural Language Processing Specialization, including Natural Language Processing with Classification and Vector Spaces, Natural Language Processing with Probabilistic Models, Natural Language Processing with Sequence Models, Natural Language Processing with Attention Models

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Contains all course modules, exercises and notes of Natural Language Processing Specialization by Andrew Ng, and DeepLearning.ai in Coursera

:chart_with_downwards_trend:Deep learning from scratch using Go. Specializes in natural language processing

In five courses, you will learn the foundations of Deep Learning, understand how to build neural networks, and learn how to lead successful machine learning projects. You will learn about Convolutional networks, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, and more. You will work on case studies from healthcare, autonomous driving, sign language reading, music generation, and natural language processing. You will master not only the theory, but also see how it is applied in industry. You will practice all these ideas in Python and in TensorFlow, which we will teach. You will also hear from many top leaders in Deep Learning, who will share with you their personal stories and give you career advice. AI is transforming multiple industries. After finishing this specialization, you will likely find creative ways to apply it to your work. We will help you master Deep Learning, understand how to apply it, and build a career in AI. Created by: Deeplearning.AI

Sequence Models repository for all projects and programming assignments of Course 5 of 5 of the Deep Learning Specialization offered on Coursera and taught by Andrew Ng, covering topics such as Recurrent Neural Network (RNN), Gated Recurrent Unit (GRU), Long Short Term Memory (LSTM), Natural Language Processing, Word Embeddings and Attention Model.

Deep Learning Specialization and Natural Language Processing Specialization by Deep Learning.ai, Coursera

[Coursera] Natural Language Processing Specialization by "deeplearning.ai".

#Assignment Answers #About this Specialization: Natural Language Processing (NLP) uses algorithms to understand and manipulate human language. This technology is one of the most broadly applied areas of machine learning. As AI continues to expand, so will the demand for professionals skilled at building models that analyze speech and language, uncover contextual patterns, and produce insights from text and audio. By the end of this Specialization, you will be ready to design NLP applications that perform question-answering and sentiment analysis, create tools to translate languages and summarize text, and even build chatbots. These and other NLP applications are going to be at the forefront of the coming transformation to an AI-powered future. This Specialization is designed and taught by two experts in NLP, machine learning, and deep learning. Younes Bensouda Mourri is an Instructor of AI at Stanford University who also helped build the Deep Learning Specialization. Łukasz Kaiser is a Staff Research Scientist at Google Brain and the co-author of Tensorflow, the Tensor2Tensor and Trax libraries, and the Transformer paper.

Assignments and lab notebooks of NLP Specialization by DeepLearning.ai

This repo contains the assignment and quiz solutions of Natural Language Processing Specialization, offered on Coursera.

Solutions 📕 to coursera Course Natural Language Procesing with Probabilistic Models part of the Natural Language Processing 👨‍💻 Specialization ~deeplearning.ai

Assignments for the NLP Specialization on Coursera.

DeepLearning.AI - Natural Language Processing Specialization. 4 course series.

The Deep Learning Specialization is a foundational program that will help you understand the capabilities, challenges, and consequences of deep learning and prepare you to participate in the development of leading-edge AI technology. In this Specialization, you will build and train neural network architectures such as Convolutional Neural Networks, Recurrent Neural Networks, LSTMs, Transformers, and learn how to make them better with strategies such as Dropout, BatchNorm, Xavier/He initialization, and more. Get ready to master theoretical concepts and their industry applications using Python and TensorFlow and tackle real-world cases such as speech recognition, music synthesis, chatbots, machine translation, natural language processing, and more. AI is transforming many industries. The Deep Learning Specialization provides a pathway for you to take the definitive step in the world of AI by helping you gain the knowledge and skills to level up your career. Along the way, you will also get career advice from deep learning experts from industry and academia.

Natural Language Processing Specialization - DeepLearning.AI - Coursera

Notes, Assignments and Relevant stuff from NLP course by deeplearning.ai

SSIN stands at the forefront of Natural Language Processing (NLP) innovation, specializing in sentiment analysis prediction. This project pioneers an Integrative multimodal attention-based model, seamlessly integrated into NLP pipelines, and redefines sentiment analysis benchmarks.

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Resources for "Natural Language Processing Specialization" by deeplearning.ai on Coursera