Building Advanced Deep Learning and NLP Projects

Description

In this course, you will learn :

• Advanced deep learning concepts
• Building advanced deep learning and Natural Language Processing (NLP) projects.
• Able to use deep learning algorithms, which are widely used in industry.
• You will be introduced to the most commonly used machine learning tools, such as NumPy, Matplotlib, scikit-learn, Tensorflow, and others.

Syllabus :

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

• Introduction to Convolutional Neural Networks
• Convolution
• Pooling
• Flattening and the Full Connection Operation
• Key Functions
• Project Creation

 

2. Project: Building a Pokemon Classifier Using Transfer Learning

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

 

3. Project: Text Generation Using Markov Chains

• Introduction to Markov Chains
• Project Creation

 

4. Word Embedding: Two Mini Projects

• Word2vec
• Gensim's Word2vec: Hands-On
• First Mini Project
• Second Mini Project

 

5. Project: IMDB Reviews Sentiment Analysis

• Types of RNN Architectures
• Forward and Backward Propagation in RNNs
• Long Short Term Memory Networks (LSTM)
• Embedding Layer: Word Representation
• Project Creation

 

6. Project: Deciphering Text Using Character-Level RNNs

 

7. Project: Emoji Predictor Using Transfer Learning in NLP

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