Deep Learning: NLP for Sentiment analysis & Translation 2024

Master and Deploy Sentiment analysis and machine translation solutions with Tensorflow and Hugggingface Transformers

Ratings 4.15 / 5.00

Deep Learning: NLP for Sentiment analysis & Translation 2024

What You Will Learn!

The Basics of Tensors and Variables with Tensorflow
Linear Regression, Logistic Regression and Neural Networks built from scratch.
Basics of Tensorflow and training neural networks with TensorFlow 2.
Model deployment
Conversion from tensorflow to Onnx Model
Quantization Aware training
Building API with Fastapi
Deploying API to the Cloud
Sentiment Analysis with Recurrent neural networks, Attention Models and Transformers from scratch
Neural Machine Translation with Recurrent neural networks, Attention Models and Transformers from scratch
Neural Machine Translation with T5 in Huggingface transformers
Attention Networks
Transformers from scratch

Description

Sentiment analysis and machine translation models are used by millions of people every single day. These deep learning models (most notably transformers) power different industries today.

With the creation of much more efficient deep learning models, from the early 2010s, we have seen a great improvement in the state of the art in the domains of sentiment analysis and machine translation.

In this course, we shall take you on an amazing journey in which you'll master different concepts with a step-by-step approach. We shall start by understanding how to process text in the context of natural language processing, then we would dive into building our own models and deploying them to the cloud while observing best practices.

We are going to be using Tensorflow 2 (the world's most popular library for deep learning, built by Google) and Huggingface

You will learn:

The Basics of Tensorflow (Tensors, Model building, training, and evaluation).
Deep Learning algorithms like Recurrent Neural Networks, Attention Models, Transformers, and Convolutional neural networks.
Sentiment analysis with RNNs, Transformers, and Huggingface Transformers (Deberta)
Transfer learning with Word2vec and modern Transformers (GPT, Bert, ULmfit, Deberta, T5...)
Machine translation with RNNs, attention, transformers, and Huggingface Transformers (T5)
Model Deployment (Onnx format, Quantization, Fastapi, Heroku Cloud)

If you are willing to move a step further in your career, this course is destined for you and we are super excited to help achieve your goals!

This course is offered to you by Neuralearn. And just like every other course by Neuralearn, we lay much emphasis on feedback. Your reviews and questions in the forum will help us better this course. Feel free to ask as many questions as possible on the forum. We do our very best to reply in the shortest possible time.

Enjoy!!!

Who Should Attend!

Beginner Python Developers curious about Applying Deep Learning for Natural Language Processing in the domains of sentiment analysis and machine translation
Deep Learning for NLP Practitioners who want gain a mastery of how things work under the hood
NLP practitioners who want to learn how state of art sentiment analysis and machine translation models are built and trained using deep learning.
Anyone wanting to deploy ML Models
Learners who want a practical approach to Deep learning for Sentiment analysis and Machine Translation

TAKE THIS COURSE