Introduction to Deep Learning

Learn the basics of deep learning using two of the most popular Python libraries: Keras and PyTorch

Available formats: hybrid, live-online, on-demand
Introduction to Deep Learning

What will I learn?

  • Learn the fundamental concepts that power today's advanced neural networks models
  • Learn how to create, train, evaluate, and optimize neural network models
  • Become familiar with Keras and PyTorch, two of the leading frameworks for deep learning in Python
  • Get hands-on experience building neural network models to solve classification and regression tasks

Curriculum

Introduction to Artificial Neural Networks

Learn the fundamental concepts that power Artificial Neural Networks (ANNs). In this section we cover how ANNs learn using a combination of forward propagation, backpropagation and optimization algorithms such as gradient descent.

Creating, training, evaluating and optimizing models in Keras

Learn how to create, train and evaluate deep learning models using the Keras library in Python. Go in-depth into optimizing your neural networks for best results.

Saving models and performing inference in Keras

Learn how to use your trained neural network models for classification and regression tasks.

Preparing data in Pytorch

With your instructor's guidance, learn how to prepare your data to be used while training a neural network models in PyTorch.

Creating, training, evaluating and optimizing models in PyTorch

Learn how to create, train and evaluate deep learning models using the PyTorch library in Python. Go in-depth into optimizing your neural networks for best results.

Saving models and performing inference in PyTorch

Learn how to use your trained neural network models for classification and regression tasks.

Transfer learning

A brief introduction to transfer learning: advantages, disadvantages, and applications. Includes a detailed transfer learning example.

Why Edlitera?

Build the coding, data and AI skills you need, online, on your own schedule. From learning to code as a beginner to mastering cutting-edge data science, machine learning and AI techniques.

Learning for the real world

Our courses are made with the input and feedback of top teams at Fortune 500 companies in Silicon Valley and on Wall Street.

No-fluff learning

Each minute of each course is packed full of insight, best practices and real-world experience from our expert instructors.

Learn by doing

Start writing code on your computer from Day One. Practice on hundreds of exercises. Apply your skills in mini-projects. Get instant feedback from video solutions.

Complete learning tracks

With over 150 hours of video lectures and hundreds of practice exercises and projects, our learning tracks will help you level up your skills whether you are a novice or an advanced learner.

What people are saying

"I walked into the bootcamp with some basic Python syntax and walked out with a much stronger, contextualized grasp of Python, an understanding of common mistakes, the ability to solve basic coding problems, and confidence in my ability to learn more."

Randi S., Edlitera Student
Randi S., a graduate of Edlitera's Python training bootcamp

"I wanted to learn Python and be able to process data without being tied and limited by Excel and macros. These classes gave me all the tools to do so and beyond. The materials provided, the engagement of the class by the tutors and their availability to help us were excellent."

Gaston G., Edlitera Student
Gaston G., a graduate of Edlitera's Python training bootcamp

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