Building Advanced Deep Learning and NLP Projects

Gain insights into advanced deep learning and NLP by building 12 real-world projects using tools like TensorFlow and scikit-learn. Enhance your portfolio with industry-relevant skills.

Intermediate

57 Lessons

Certificate of Completion

Gain insights into advanced deep learning and NLP by building 12 real-world projects using tools like TensorFlow and scikit-learn. Enhance your portfolio with industry-relevant skills.

AI-POWERED

Explanations

AI-POWERED

Explanations

This course includes

53 Playgrounds

10 Quizzes

This course includes

53 Playgrounds

10 Quizzes

Course Overview

In this course, you'll not only learn advanced deep learning concepts, but you'll also practice building some advanced deep learning and Natural Language Processing (NLP) projects. By the end, you will be able to utilize deep learning algorithms that are used at large in industry. This is a project-based course with 12 projects in total. This will get you used to building real-world applications that are being used in a wide range of industries. You will be exposed to the most common tools used for mach...Show More

Course Content

Welcome to the Course

Get familiar with advanced deep learning and NLP through hands-on projects and coding support.

Overview

Project: Build a COVID-19 Detection System Using X-Rays

Get started with building a COVID-19 detection system using CNNs and image data.

Introduction to Convolutional Neural Networks

Convolution Pooling Flattening and the Full Connection Operation Key Functions Project Creation: Part One Project Creation: Part Two Pop Quiz!Assignments and Supplemental Reading Materials Assignment Solution

Project: Building a Pokemon Classifier Using Transfer Learning

Go hands-on with building a Pokemon classifier using transfer learning and ResNet50.

Introduction to Transfer Learning Transfer Learning in Vision How to use Transfer Learning?Rule of Thumb in Transfer Learning Use a Pre-trained Model

Project Creation: Part One Project Creation: Part Two Project Creation: Part Three Pop Quiz!Assignments and Supplemental Reading Materials Assignment Solution

Project: Text Generation Using Markov Chains

Apply your skills to build a text generator using Markov chains for dynamic text creation.

Introduction to Markov Chains Project Creation: Part One Project Creation: Part Two Project Creation: Part Three Pop Quiz!Assignments and Supplemental Reading Materials Assignment Solution

Word Embedding: Two Mini Projects

Take a closer look at word embeddings, advanced NLP techniques, and practical mini projects.

Introduction to Word Embedding Word2vec Gensim's Word2vec: Hands-On First Mini Project Second Mini Project Pop Quiz!Assignments and Supplemental Reading Materials Assignment Solution

Project: IMDB Reviews Sentiment Analysis

11 Lessons

Follow the process of building an RNN for IMDB sentiment analysis, covering architectures, LSTMs, embedding layers, model training, and assignments.

Project: Deciphering Text Using Character-Level RNNs

3 Lessons

Master the steps to build, train, and evaluate a character-level RNN model for text decryption.

Project: Emoji Predictor Using Transfer Learning in NLP

3 Lessons

Try out building an emoji predictor using GloVe, LSTMs, and transfer learning.

Final Exam

1 Lesson

Look at all concepts in the final exam to verify your comprehension.

10.

Where to Go Next?

2 Lessons

Break apart project ideas and next steps for advancing deep learning and NLP skills.

Course Author

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Anthony Walker

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Emma Bostian 🐞

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Evan Dunbar

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Carlos Matias La Borde

Software Developer

Souvik Kundu

Front-end Developer

Vinay Krishnaiah

Software Developer

Eric Downs

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Kenan Eyvazov

DevOps Engineer

Anthony Walker

@_webarchitect_

Emma Bostian 🐞

@EmmaBostian

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