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Introduction to Transfer Learning

Project: Building a Pokemon Classifier Using Transfer Learning

11 Lessons

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

Transfer Learning in Vision

How to use Transfer Learning?

Rule of Thumb in Transfer Learning

Use a Pre-trained Model

Introduction to Markov Chains

Project: Text Generation Using Markov Chains

7 Lessons

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

Introduction to Word Embedding

Word Embedding: Two Mini Projects

8 Lessons

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

Word2vec

Gensim's Word2vec: Hands-On

First Mini Project

Second Mini Project

Introduction to Recurrent Neural Networks

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.

Types of RNN Architectures

Forward and Backward Propagation in RNNs

Long Short Term Memory Networks (LSTM)

Embedding Layer: Word Representation

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 Lessons

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

Take the Exam!

10.

Where to Go Next?

2 Lessons

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

Project Ideas

Next Steps

Certificate of Completion

Showcase your accomplishment by sharing your certificate of completion.

Course Author:

Harsh Jain

Looks a bit advance? Start here.

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Applied Machine Learning: Industry Case Study with TensorFlow

Gain insights into predicting retail sales with TensorFlow. Delve into data analysis, training models, and extracting insights using industry techniques. Explore efficient model evaluation with experts from top tech companies.

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A Beginner's Guide to Deep Learning

Discover fundamental deep learning concepts, master coding models using NumPy and Keras, and test your knowledge with quizzes and coding challenges. Gain insights into effective deep learning techniques.

20 hours

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Introduction to Deep Learning & Neural Networks

Gain insights into basic and intermediate deep learning concepts, including CNNs, RNNs, GANs, and transformers. Delve into fundamental architectures to enhance your machine learning model training skills.

4 hours 30 mins

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Machine Learning with NumPy, pandas, scikit-learn, and More

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A Beginner's Guide to Deep Learning

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Introduction to Deep Learning & Neural Networks

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Machine Learning with NumPy, pandas, scikit-learn, and More

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9 hours

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Gain insights into ML system design, state-of-the-art techniques, and best practices for scalable production. Learn from top researchers and stand out in your next ML interview.

1 hour 30 mins

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Your proven path to success in Machine Learning Interviews – developed by FAANG engineers. Unlock ML loops at top companies with a System Design approach.

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