Deep Learning Dictionary - Lightweight Crash Course

Deep Learning Course - Level: Beginner

Deeplizard's Deep Learning Dictionary - Course Intro


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Deeplizard's Deep Learning Dictionary

Welcome to deeplizard's Deep Learning Dictionary! This is a lightweight crash course containing bite-sized, practical and intuitive explanations for the most common terms and concepts in the field of deep learning.


Just as with any discipline, deep learning contains a host of its own vocabulary and lingo that may sometimes be hard to remember and manage in our minds, especially as beginners. We can use this Deep Learning Dictionary to receive concise high level overviews of these topics, which can be quickly and easily consumed for anyone's very first encounter with deep learning.

We can also use this course as a guide or cheat sheet to refer back to any time for quick refreshers of the foundational topics.

Course Prerequisites

This series is beginner-friendly, so no prior deep learning or neural network knowledge is needed to understand the explanations provided here!

For absolute beginners to the field of deep learning and neural networks, we recommend first breezing through the Deep Learning Dictionary to casually make your first acquaintance with the fundamental topics, and then progress to the Deep Learning Fundamentals course for more elaborate explanations.

We cover many topics from the Deep Learning Dictionary in further depth with longer, more technical explanations in our Deep Learning Fundamentals course, which is excellent for beginners to gain a full, well-rounded understanding of all the foundational deep learning concepts needed to get started in this field.

What you'll learn

Using the Deep Learning Dictionary, we'll become acquainted with all the foundational topics needed to get started in the field of deep learning.

By taking this course, you will:

  • Learn about the fields of AI, machine learning, and deep learning
  • Gain an understanding for the various components that make up an artificial neural network
  • Understand computer vision and how artificial neural networks achieve it
  • Learn about the artificial neural network training process
  • Understand how to prepare and pass data as input to a neural network
  • Learn about network optimization, gradient descent, and backpropagation
  • Understand the learnable parameters within an artificial neural network and how the network optimizes for them
  • Learn about different network processes and their corresponding datasets: training, validation, testing
  • Understand how to detect and approach problems that may arise during network training
  • Learn techniques to improve and stabilize network training
  • Understand the different categories of learning: supervised, unsupervised, semi-supervised
  • Gain an understanding for all the components in a convolutional neural network (CNN)
  • Learn how convolutional filters process image data
  • Understand the general architecture of a CNN
  • Learn how transfer learning works to transfer knowledge gained by one network to another
  • Much more!

Check out the Deep Learning Dictionary course page for the full syllabus of all the topics we'll cover here.

Course Resources

This What's Included:

  • 69 Ultra HD 4K video lessons
  • 92 pages of fully written corresponding lecture notes
  • Customized visual graphics created for this course

The course lessons will be released over time, but you may gain early access to the full course at once by registering on! See instructions below for how to unlock early access to the entire course.

How To Register for Early Access

Registration consists of two steps: creating an account on and purchasing early access to the course.

  1. Create a deeplizard account.
    1. Navigate to the Create page to create a new account.
    2. Enter a valid email address and password.
    3. Enter the verification code sent to your email address.
  2. Purchase early access to the course.
    1. Ensure you're logged in to
    2. Browse to the course page.
    3. Click the Enroll button.
    4. Agree to the course terms and conditions.
    5. Enter your payment details. If you have a discount code, you may enter it here.
    6. Upon successful payment, the course will become unlocked, and you may view the full contents. You will also receive a welcome email to begin the course.

We hope to see you in the course! Head over to preview the course by viewing the contents on the course page now!


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Quiz Results


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Welcome to deeplizard's Deep Learning Dictionary! This is a lightweight crash course containing bite-sized, practical and intuitive explanations for the most common terms and concepts in the field of deep learning. πŸ’‘ The course lessons will be released over time, but you may unlock early access to the full course at once by registering at: πŸ”— πŸ”₯ DISCOUNT CODE πŸ”₯ Coupon codes are applied on a first come, first serve basis! ⚑ First 20 people to use this code at checkout get 15% OFF their purchase of Early Access to the Deep Learning Dictionary: DLDLIZARD15 ✨ See the course page to get an overview of the course and register for early access: πŸ”— ✨ View further details about the course in the corresponding blog for this video: πŸ”— ✨ Preview the first dictionary entry lesson of the course: πŸ”— πŸ•’πŸ¦Ž VIDEO SECTIONS πŸ¦ŽπŸ•’ 00:00 Welcome to DEEPLIZARD - Go to for learning resources 00:10 Welcome to the Deep Learning Dictionary! 01:50 Collective Intelligence and the DEEPLIZARD HIVEMIND πŸ’₯🦎 DEEPLIZARD COMMUNITY RESOURCES 🦎πŸ’₯ πŸ‘‹ Hey, we're Chris and Mandy, the creators of deeplizard! πŸ‘€ CHECK OUT OUR VLOG: πŸ”— πŸ’ͺ CHECK OUT OUR FITNESS CHANNEL: πŸ”— 🧠 Use code DEEPLIZARD at checkout to receive 15% off your first Neurohacker order: πŸ”— ❀️🦎 Special thanks to the following polymaths of the deeplizard hivemind: Mano Prime πŸ‘€ Follow deeplizard: Our vlog: Fitness: Facebook: Instagram: Twitter: Patreon: YouTube: πŸŽ“ Deep Learning with deeplizard: AI Art for Beginners - Deep Learning Dictionary - Deep Learning Fundamentals - Learn TensorFlow - Learn PyTorch - Natural Language Processing - Reinforcement Learning - Generative Adversarial Networks - Stable Diffusion Masterclass - πŸŽ“ Other Courses: DL Fundamentals Classic - Deep Learning Deployment - Data Science - Trading - πŸ›’ Check out products deeplizard recommends on Amazon: πŸ”— πŸ“• Get a FREE 30-day Audible trial and 2 FREE audio books using deeplizard's link: πŸ”— 🎡 deeplizard uses music by Kevin MacLeod πŸ”— ❀️ Please use the knowledge gained from deeplizard content for good, not evil.


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