Live training with Dr. Jon Krohn is starting on July 29th at 12 PM (ET)

Training duration is 4 hours

Regular Price : $252.00.

10% discount ends soon.

Price with 10% discount

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Instructor

Instructor Bio:

What will you learn?

  • Understand the essential theory of artificial neural networks, including which deep learning approach is most appropriate for solving a given problem

  • Build production-ready deep neural networks with the NumPy-esque PyTorch library as well as with the heavyweight TensorFlow 2 library (by taking advantage of its in-built, easy-to-use Keras module)

  • Interpret the output of deep learning models to troubleshoot and improve results

Course Abstract

Relatively obscure a few short years ago, deep learning is ubiquitous today across data-driven applications as diverse as machine vision, natural language processing, artistic creativity, and complex sequential decision-making. 

This deep learning primer brings the revolutionary approach behind contemporary artificial intelligence to life with interactive demos featuring TensorFlow 2 and PyTorch, the two leading deep learning libraries. 

To facilitate an intuitive understanding of deep learning’s artificial-neural-network foundations, essential theory will be introduced visually and pragmatically. Paired with tips for overcoming common pitfalls and hands-on code run-throughs provided in Python Jupyter notebooks, this foundational knowledge empowers you to build powerful state-of-the-art deep neural network models. Many resources will be provided for digging further into any deep learning-related topic that piques your interest. 

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Course Schedule

Segment 1: The Unreasonable Effectiveness of Deep Learning (40 min)


  • Training Overview 

  • A Brief History of the Rise of Deep Learning

  • Deep Learning vs Other Machine Learning Approaches

  • Dense Feedforward Networks

  • Convolutional Networks for Machine Vision

  • Recurrent Networks for Natural Language Processing and Time-Series Predictions

  • Deep Reinforcement Learning for Sequential Decision-Making

  • Generative Adversarial Networks for Creativity

  • Overview of the Leading Deep Learning Libraries, including TensorFlow 2, Keras, PyTorch, MXNet, CNTK, and Caffe


Segment 2: Essential Deep Learning Theory (80 min)


  • An Artificial Neural Network with Keras

  • The Essential Math of Artificial Neurons

  • The Essential Math of Neural Networks

  • Activation Functions

  • Cost Functions, including Cross-Entropy

  • Stochastic Gradient Descent

  • Backpropagation

  • Mini-Batches

  • Learning Rate

  • Fancy Optimizers (e.g., Adam, Nadam)

  • Glorot/He Weight Initialization

  • Dense Layers

  • Softmax Layers

  • Dropout

  • Data Augmentation

  • TensorFlow Playground: Visualizing a Deep Net in Action 


Segment 3: TensorFlow 2 and PyTorch (90 min)


  • Revisiting our Shallow Neural Network

  • Deep Neural Nets in TensorFlow 2

  • Deep Neural Nets in PyTorch

  • Tuning Model Hyperparameters

  • Creating Your Own Deep Learning Project

  • What to Study Next, Depending on Your Interests

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Who will be interested in this course?

  • Software developers, data scientists, analysts, statisticians and other data-related professionals are the core target audience for this training. Moreover, this training is for anyone:

  • Who would like to be exposed to the range of applications of deep learning approaches.

  • Who yearn to understand how deep learning works.

  • Who would like to create state-of-the-art machine-learning models well-suited to solving a broad range of problems, including complex, non-linear problems with large, high-dimensional data sets.

Which knowledge and skills you should have?

  • Some experience with machine learning would make this workshop easier to follow, but is by no means necessary.

  • All code demos during the training will be in Python, so experience with it or another object-oriented programming language would be helpful.

What is included in your ticket?

  • Access to live training and QA session with the Instructor

  • Certification of completion

Testimonials

Dr. Jon Krohn's previous students

Receive Deep Learning Illustrated signed by Jon Krohn

Students have the opportunity to purchase Jon Krohn bestseller - "Deep Learning Illustrated" with a price of $39.99 + shipping costs.


Jon Krohn will sign the book with an inscription made out to the attendee personally.