Master Deep Learning in 2023- A Comprehensive Bootcamp

Master Deep Learning in 2023: A Comprehensive Bootcamp, available at $19.99, has an average rating of 4.75, with 44 lectures, 1 quizzes, based on 2 reviews, and has 1007 subscribers.

You will learn about 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. This course is ideal for individuals who are Beginners in AI and Deep Learning: Individuals with a basic understanding of programming and mathematics who are eager to step into the field of AI and deep learning. No prior knowledge of AI or machine learning is required. or Data Scientists and Machine Learning Practitioners: Professionals who already work with data and machine learning, but want to deepen their knowledge and skillset in the specific area of deep learning. This course provides an in-depth look into the advanced techniques used in the industry. or Students and Researchers in AI and related fields: Those who are currently studying or conducting research in AI, computer science, data science, or a related field, and want to expand their understanding of deep learning. The course can serve as a comprehensive supplement to their academic learning. or Software Engineers and Developers: Technologists who want to expand their capabilities to include AI and deep learning, potentially aiming for roles that require these skills. The course covers practical applications and model implementation that can be integrated into software solutions. It is particularly useful for Beginners in AI and Deep Learning: Individuals with a basic understanding of programming and mathematics who are eager to step into the field of AI and deep learning. No prior knowledge of AI or machine learning is required. or Data Scientists and Machine Learning Practitioners: Professionals who already work with data and machine learning, but want to deepen their knowledge and skillset in the specific area of deep learning. This course provides an in-depth look into the advanced techniques used in the industry. or Students and Researchers in AI and related fields: Those who are currently studying or conducting research in AI, computer science, data science, or a related field, and want to expand their understanding of deep learning. The course can serve as a comprehensive supplement to their academic learning. or Software Engineers and Developers: Technologists who want to expand their capabilities to include AI and deep learning, potentially aiming for roles that require these skills. The course covers practical applications and model implementation that can be integrated into software solutions.

Enroll now: Master Deep Learning in 2023: A Comprehensive Bootcamp

Summary

Title: Master Deep Learning in 2023: A Comprehensive Bootcamp

Price: $19.99

Average Rating: 4.75

Number of Lectures: 44

Number of Quizzes: 1

Number of Published Lectures: 44

Number of Published Quizzes: 1

Number of Curriculum Items: 45

Number of Published Curriculum Objects: 45

Original Price: $22.99

Quality Status: approved

Status: Live

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.

Who Should Attend

Beginners in AI and Deep Learning: Individuals with a basic understanding of programming and mathematics who are eager to step into the field of AI and deep learning. No prior knowledge of AI or machine learning is required.

Data Scientists and Machine Learning Practitioners: Professionals who already work with data and machine learning, but want to deepen their knowledge and skillset in the specific area of deep learning. This course provides an in-depth look into the advanced techniques used in the industry.

Students and Researchers in AI and related fields: Those who are currently studying or conducting research in AI, computer science, data science, or a related field, and want to expand their understanding of deep learning. The course can serve as a comprehensive supplement to their academic learning.

Software Engineers and Developers: Technologists who want to expand their capabilities to include AI and deep learning, potentially aiming for roles that require these skills. The course covers practical applications and model implementation that can be integrated into software solutions.

Target Audiences

Beginners in AI and Deep Learning: Individuals with a basic understanding of programming and mathematics who are eager to step into the field of AI and deep learning. No prior knowledge of AI or machine learning is required.

Data Scientists and Machine Learning Practitioners: Professionals who already work with data and machine learning, but want to deepen their knowledge and skillset in the specific area of deep learning. This course provides an in-depth look into the advanced techniques used in the industry.

Students and Researchers in AI and related fields: Those who are currently studying or conducting research in AI, computer science, data science, or a related field, and want to expand their understanding of deep learning. The course can serve as a comprehensive supplement to their academic learning.

Software Engineers and Developers: Technologists who want to expand their capabilities to include AI and deep learning, potentially aiming for roles that require these skills. The course covers practical applications and model implementation that can be integrated into software solutions.

Dive into the realm of Artificial intelligence and master Deep Learning with our comprehensive course, “Master Deep Learning in 2023: 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 convolutionaland recurrent neural networks, long short-term memory (LSTMs), pre-trained models & Transfer Learning.

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!

Course Curriculum

Chapter 1: Introduction

Lecture 1: Welcome to Course

Lecture 2: Intro

Lecture 3: Course Resources

Chapter 2: Understanding the Neural Network

Lecture 1: Introduction To Deep Learning

Lecture 2: Understanding Deep Learning

Lecture 3: What are Neurons?

Lecture 4: What is Neuron?

Chapter 3: Activation Functions

Lecture 1: Overview

Lecture 2: Activation Functions

Lecture 3: Step Function

Lecture 4: Linear Function

Lecture 5: Sigmoid Function

Lecture 6: TanH Functions

Lecture 7: ReLu Functions

Chapter 4: Propagation and Gradient Descent

Lecture 1: Overview

Lecture 2: Back Propagation and Forward Pass

Lecture 3: Gradient Descent

Chapter 5: Artificial Neural Networks

Lecture 1: Overview

Lecture 2: ANN Intuition

Lecture 3: ANN Practicals

Lecture 4: ANN Hyperparameter Optimization

Chapter 6: Convolutional Neural Networks

Lecture 1: Overview

Lecture 2: Introduction to CNN

Lecture 3: What is CNN

Lecture 4: Steps in CNN

Lecture 5: Architecture Explained!!

Lecture 6: Image Augmentation

Lecture 7: Batch Size vs Iterations vs Epoch

Lecture 8: Practicals

Lecture 9: Model Summary and Parameters

Lecture 10: Hands-on

Chapter 7: Recurrent Neural Networks

Lecture 1: Overview

Lecture 2: RNN Basics

Lecture 3: Types of RNN

Lecture 4: Vanishing Gradient and Exploding Gradient

Lecture 5: LSTMs

Lecture 6: LSTMs Practicals

Chapter 8: Pre-Trained Models and Transfer Learning

Lecture 1: Overview

Lecture 2: Pre-Trained Models

Lecture 3: Hands-on

Lecture 4: About VGG 16

Lecture 5: About MobileNet

Lecture 6: Transfer Learning

Chapter 9: Final Project

Lecture 1: Final Project

Chapter 10: Quiz

Instructors

Satyajit Pattnaik
Lead Data Consultant | YouTuber | Data Entrepreneur

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5 stars: 1 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!