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Unleashing the Power of AI: From Basics to Advanced Techniques in Deep Learning

What you will learn

Understand and articulate the fundamental concepts of artificial intelligence (AI).

Apply various deep learning models, including neural networks, convolutional neural networks (CNNs), recurrent neural networks (RNNs), long short-term memory.

Utilize popular deep learning frameworks such as Tensorflow and Keras to design, train, and optimize deep learning models for different tasks.

Analyze real-world problems, design appropriate AI solutions using deep learning techniques.

Description

Dive into the realm of Artificial intelligence and master Deep Learning with our comprehensive course, “Master Deepย Learning in 2023:ย A Comprehensive Bootcamp

Are you fascinated by the power and potential of artificial intelligence, machine learning and deep learning? Are you looking for a comprehensive and immersive way to learn about Deep Learning? If so, then this course is for you!

Designed with both beginners and professionals in mind, this course offers a deep and engaging journey into the field of AI and deep learning. With a focus on deep learning, you’ll explore the latest and most impactful techniques and technologies in this dynamic and rapidly evolving field.

Our course begins by providing a strong grounding in the fundamental concepts of AI and deep learning. You’ll learn the basics of neural networks, deep learning frameworks, and more. With this solid foundation, we’ll then move on to explore more complex topics such as convolutional and recurrent neural networks, long short-term memory (LSTMs), pre-trained models &ย Transfer Learning.


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Throughout the course, you’ll benefit from practical examples and real-world case studies to help you connect theoretical concepts to practical applications. You’ll also complete hands-on projects to help you apply your learning to the most pressing challenges facing AI and deep learning today.

But our course doesn’t simply prepare you to apply deep learning techniques in the real world–it also equips you with the ethical considerations and implications of using AI. You’ll learn about critical issues like bias and fairness in machine learning, and develop your ability to think critically about the challenges and opportunities presented by these new technologies.

By the end of the course, you’ll have a comprehensive understanding of deep learning and the skills to apply these techniques to real-world problems. Join us on this exciting learning adventure and take your first step towards becoming a proficient and successful AI specialist!

English
language

Content

Introduction

Welcome to Course
Intro
Course Resources

Understanding the Neural Network

Introduction To Deep Learning
Understanding Deep Learning
What are Neurons?
What is Neuron?

Activation Functions

Overview
Activation Functions
Step Function
Linear Function
Sigmoid Function
TanH Functions
ReLu Functions

Propagation and Gradient Descent

Overview
Back Propagation and Forward Pass
Gradient Descent

Artificial Neural Networks

Overview
ANN Intuition
ANN Practicals
ANN Hyperparameter Optimization

Convolutional Neural Networks

Overview
Introduction to CNN
What is CNN
Steps in CNN
Architecture Explained!!
Image Augmentation
Batch Size vs Iterations vs Epoch
Practicals
Model Summary and Parameters
Hands-on

Recurrent Neural Networks

Overview
RNN Basics
Types of RNN
Vanishing Gradient and Exploding Gradient
LSTMs
LSTMs Practicals

Pre-Trained Models and Transfer Learning

Overview
Pre-Trained Models
Hands-on
About VGG 16
About MobileNet
Transfer Learning

Final Project

Final Project

Quiz

Let’s get started!!