Introduction to Deep Learning

Join us for an exciting in-person event, "Introduction to Deep Learning," where you can dive into the fascinating world of artificial intelligence. Discover the power of deep learning algorithms and their impact on various industries, from healthcare to finance.

Immerse yourself in a dynamic environment filled with like-minded individuals, industry experts, and cutting-edge technologies.

During this engaging event, you'll gain a solid understanding of the fundamentals of deep learning and its practical applications. Our knowledgeable speakers will guide you through real-world examples and share their experiences in the field.

Whether you're a beginner or have some prior knowledge, this event is designed to cater to all levels of expertise. Don't miss out on this opportunity to expand your knowledge and explore the potential of deep learning.

Join us at "Introduction to Deep Learning" and unlock the secrets of this transformative technology. Reserve your spot now!

This is a 2-day course introduction to deep learning for business analysts, data scientists or developers. Prior Python experience not required but recommended.

A digital certificate of completion by Scifn, a leader in AI and blockchain education, will be provided via Accredible for those students that successfully complete this course.

All students will get a hardcopy, bound book of all materials.

The course will cover the following topics in significant depth. No prior math knowledge beyond basic algebra is required.

• Core machine learning concepts - training, validation, algorithms, use cases
• Neurons, neural nets, perceptrons, activations, weights, biases, classifiers
• Scalars, vectors, matrices, basic matrix math
• Sigmoid, Tanh, ReLu and Softmax functions
• Gradient descent theory
• Feed forward and backpropogation
• PyTorch fundamentals
• Convulution and Convolutional Neural Networks
• Generative models and creating art
• Stable diffusion
• Understanding large language models and how to build one
• Using tools like Hugging Face and LangChain

By the end of the course you will be able to build:

• An image classifier using Python alone
• An image classifier using PyTorch
• A ChatGPT-like LLM and chatbot
• Generative art

The goal of the course is to provide you with a deep and solid fundamental understanding of neural nets, how they work and understand key concepts. Once the concepts are clear, we will build deep learning models step-by-step.

The course will be taught by a professor with six years of experience teaching machine learning.

A laptop is required for those who wish to participate in the hands-on exercises