The Complete Deep Learning Bootcamp

Master Deep Learning with Python from Experts! Code Templates Included

Description

As seen on Kickstarter

Artificial Intelligence is advancing rapidly—self-driving cars, AI diagnosing medical conditions, and AI systems mastering complex games like Go. But as AI evolves, the problems it faces grow more complex, and only Deep Learning can handle such challenges. That’s why Deep Learning is at the heart of AI.

Why Deep Learning A-Z?

Here are five reasons why Deep Learning A-Z stands out:

1. Robust Structure

Deep Learning can be overwhelming, so we’ve organized this course into two volumes to give you a global vision of the field:

• Supervised Deep Learning
• Unsupervised Deep Learning Each volume focuses on three key algorithms, providing a comprehensive structure for mastering Deep Learning.

2. Intuition Tutorials

Many courses jump straight into theory and math, but we focus on building your intuitive understanding of Deep Learning concepts. With our intuition tutorials, you’ll truly understand why and how things work, giving you a stronger foundation for the practical coding exercises.

3. Exciting Projects

Tired of outdated datasets? We’ll solve six real-world challenges using real-world datasets:

• Artificial Neural Networks: Solve a Customer Churn problem.
• Convolutional Neural Networks (CNN): Apply image recognition.
• Recurrent Neural Networks (RNN): Predict stock prices.
• Self-Organizing Maps: Detect fraud.
• Boltzmann Machines: Build a recommender system.
• Stacked Autoencoders: Compete for the Netflix $1 Million prize (brand new technique not seen elsewhere).

4. Hands-on Coding

We code together from scratch in every tutorial, so you can follow along and understand every line of code. You’ll also receive downloadable templates in Python (.py) and Jupyter Notebooks (.ipynb) for each AI model, making it easy to adapt them to your projects.

5. In-Course Support

We’re committed to helping you succeed. Whenever you have questions, our team of professional Data Scientists will respond within 48 hours. No matter how complex your query, we’re here to help!

Tools You Will Use

• TensorFlow & PyTorch: Learn both of these cutting-edge, open-source Deep Learning libraries and understand when to use each.
• Keras: Simplify your model-building process with Keras, a powerful Deep Learning wrapper for TensorFlow and Theano.
• Scikit-learn: Use this library to evaluate, tune, and preprocess your data for optimal model performance.
• Other Tools: We’ll also cover Theano, Numpy, Matplotlib, and Pandas for various aspects of Deep Learning, from computations to data manipulation.

Real-World Case Studies

Apply your Deep Learning skills to these six exciting challenges:

1. Customer Churn: Predict customer attrition for a bank.
2. Image Recognition: Build a CNN to recognize objects (cats, dogs, or anything you want!).
3. Stock Price Prediction: Use Recurrent Neural Networks (RNN) to predict Google’s stock prices.
4. Fraud Detection: Detect fraudulent credit card applications using Unsupervised Deep Learning models.
5. Recommender Systems: Build advanced systems like those on Netflix or Amazon using Deep Belief Networks and AutoEncoders.

Who Is This Course For?

• Beginners: Start your Deep Learning journey with easy-to-follow tutorials and build your knowledge step-by-step.
• Experienced Learners: Master cutting-edge techniques and solve real-world challenges, gaining hands-on experience with the latest algorithms.

Summary

Deep Learning A-Z is a structured, hands-on course designed to give you a deep understanding of Deep Learning concepts and how to apply them to real-world problems. Whether you’re just starting out or have some experience, this course will guide you through practical, exciting projects with expert support along the way.

Join us now and become a Deep Learning expert!