Deep Learning and AI with Python for Beginners
Deep Learning and AI with Python for Beginners, available at Free, has an average rating of 4.04, with 21 lectures, based on 52 reviews, and has 3826 subscribers.
You will learn about Deep Learning and AI with Python Starting from Basic Concepts Artificial Neurons – Building Blocks of Deep Learning and AI Deep Convolutional Neural Networks (ResNet and AlexNet) Learn UNet Deep Learning Encoder-Decoder Architecture Learn PSPNet Deep Learning Architecture Learn PAN Deep Learning Architecture Learn Region-Based Convolutional Neural Networks (RCNNs) Setting-up Google Colab for Writing Python Code Data Preprocessing using different Image Transformations with Python Deep Learning Models to Perform Single and Multi-label Image Classification This course is ideal for individuals who are The course is designed for individuals who are new to the field of deep learning and wish to start their journey in this exciting area of artificial intelligence. or Whether you're a student in computer science, engineering, data science, or any related field, this course can supplement your academic knowledge and provide practical skills. It is particularly useful for The course is designed for individuals who are new to the field of deep learning and wish to start their journey in this exciting area of artificial intelligence. or Whether you're a student in computer science, engineering, data science, or any related field, this course can supplement your academic knowledge and provide practical skills.
Enroll now: Deep Learning and AI with Python for Beginners
Summary
Title: Deep Learning and AI with Python for Beginners
Price: Free
Average Rating: 4.04
Number of Lectures: 21
Number of Published Lectures: 20
Number of Curriculum Items: 21
Number of Published Curriculum Objects: 20
Original Price: Free
Quality Status: approved
Status: Live
What You Will Learn
- Deep Learning and AI with Python Starting from Basic Concepts
- Artificial Neurons – Building Blocks of Deep Learning and AI
- Deep Convolutional Neural Networks (ResNet and AlexNet)
- Learn UNet Deep Learning Encoder-Decoder Architecture
- Learn PSPNet Deep Learning Architecture
- Learn PAN Deep Learning Architecture
- Learn Region-Based Convolutional Neural Networks (RCNNs)
- Setting-up Google Colab for Writing Python Code
- Data Preprocessing using different Image Transformations with Python
- Deep Learning Models to Perform Single and Multi-label Image Classification
Who Should Attend
- The course is designed for individuals who are new to the field of deep learning and wish to start their journey in this exciting area of artificial intelligence.
- Whether you're a student in computer science, engineering, data science, or any related field, this course can supplement your academic knowledge and provide practical skills.
Target Audiences
- The course is designed for individuals who are new to the field of deep learning and wish to start their journey in this exciting area of artificial intelligence.
- Whether you're a student in computer science, engineering, data science, or any related field, this course can supplement your academic knowledge and provide practical skills.
Are you a beginner looking to embark on a journey into the fascinating world of Deep Learning and Artificial Intelligence (AI)? Look no further! Welcome to the world of deep learning, where cutting-edge technologies and incredible possibilities await! Our “Deep Learning & AI course with Python for Beginners” is your stepping stone into the captivating realm of artificial intelligence and machine learning. Whether you’re a novice or have some programming experience, this course will empower you with the knowledge and skills to embark on a journey that is transforming industries worldwide. As industries increasingly adopt deep learning and AI technologies, the demand for skilled professionals is soaring. By completing this course, you’ll position yourself at the forefront of one of the most dynamic and high-demand fields in tech. Unlock a world of opportunities, from AI research and data science to machine learning engineering and robotics.
Deep learning, a subset of artificial intelligence, has transcended its initial hype to become a transformative force across various fields. In healthcare, deep learning is revolutionizing disease diagnosis and treatment by analyzing medical images, such as MRIs and CT scans, with unprecedented accuracy. It is powering autonomous vehicles, enabling them to navigate complex environments safely. In finance, deep learning algorithms are used for fraud detection and stock market prediction. Natural language processing models, a part of deep learning, are behind voice assistants like Siri and chatbots that enhance customer service. Deep learning’s applications extend to the entertainment industry, where recommendation systems personalize content, and to manufacturing, where it optimizes production processes. Whether in climate science, astronomy, or e-commerce, deep learning is reshaping the future by making sense of vast datasets and uncovering insights that were once unimaginable.
Course content:
-
Deep Learning and AI with Python Starting from Basic Concepts
-
Artificial Neurons – Building Blocks of Deep Learning and AI
-
Deep Convolutional Neural Networks (ResNet and AlexNet)
-
Learn UNet Deep Learning Architectur
-
Learn PSPNet Deep Learning Architecture
-
Learn PAN Deep Learning Architecture
-
Learn Region-Based Convolutional Neural Networks (RCNNs)
-
Setting-up Google Colab for Writing Python Code
-
Data Preprocessing using different Image Transformations with Python
-
Deep Learning Models to Perform Single and Multi-label Image Classification
This course is tailored for individuals with little to no prior experience in deep learning or Python programming. We’ll start with the fundamentals and build your skills progressively. If you’re a student aspiring to pursue a career in artificial intelligence or machine learning, this course will provide you with a strong foundation to kickstart your journey. If you’re simply curious about the world of deep learning and want to explore its possibilities, this course is perfect for satisfying your intellectual curiosity.
Join us on this exciting journey and unlock the potential of Deep Learning and AI today! Enroll now to get started.
Course Curriculum
Chapter 1: Introduction to Coruse
Lecture 1: Introduction to Course
Chapter 2: Intro to Deep Learning and AI
Lecture 1: Introduction to Deep Learning and AI
Chapter 3: Deep Convolutional Neural Networks (ResNet and AlexNet)
Lecture 1: ResNet and AlexNet Deep Convolutional Neural Networks
Lecture 2: Bonus Lecture: Deep Convolutional Neural Networks with Python
Chapter 4: UNet Deep Learning Architecture
Lecture 1: UNet Deep Learning Encoder-Decoder Architecture
Chapter 5: PSPNet Deep Learning Architecture
Lecture 1: PSPNet Pyramid Scene Parsing Network
Chapter 6: PAN Deep Learning Architecture
Lecture 1: PAN Pyramid Attention Network
Lecture 2: Bonus Lecture: Deep Learning for Video and Image Segmentation with Python
Chapter 7: Deep Region-Based Convolutional Neural Networks (RCNNs)
Lecture 1: Region-Based Convolutional Neural Networks (RCNNs)
Lecture 2: Mask RCNN Deep Learning Architectures
Lecture 3: Bonus Lecture: YOLOv8: Video and Image Object Detection with Python
Chapter 8: Setting-up Google Colab for Writing Python Code
Lecture 1: Setting-up Google Colab for Writing Python Code
Lecture 2: Connect Google Colab with Google Drive to Read and Write Data
Chapter 9: Data Preprocessing with Python
Lecture 1: Access Data from Google Drive to Colab Notebook
Lecture 2: Data Preprocessing for Deep Learning Model
Chapter 10: Deep Learning to Perform Image Classification with Python
Lecture 1: ResNet and AlexNet Models for Single-Label Image Classification
Lecture 2: Python Code for Single-Label Image Classification
Lecture 3: ResNet and AlexNet Models for Multi-Label Image Classification
Lecture 4: Python Code for Multi-Label Image Classification
Lecture 5: Bonus Lecture: Deep Learning with Python for Image Classification
Instructors
-
Dr. Mazhar Hussain
Deep Learning, Computer Vision, AI & Python | CS Lecturer
Rating Distribution
- 1 stars: 1 votes
- 2 stars: 2 votes
- 3 stars: 15 votes
- 4 stars: 11 votes
- 5 stars: 23 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!
You may also like
- Top 10 Video Editing Courses to Learn in November 2024
- Top 10 Music Production Courses to Learn in November 2024
- Top 10 Animation Courses to Learn in November 2024
- Top 10 Digital Illustration Courses to Learn in November 2024
- Top 10 Renewable Energy Courses to Learn in November 2024
- Top 10 Sustainable Living Courses to Learn in November 2024
- Top 10 Ethical AI Courses to Learn in November 2024
- Top 10 Cybersecurity Fundamentals Courses to Learn in November 2024
- Top 10 Smart Home Technology Courses to Learn in November 2024
- Top 10 Holistic Health Courses to Learn in November 2024
- Top 10 Nutrition And Diet Planning Courses to Learn in November 2024
- Top 10 Yoga Instruction Courses to Learn in November 2024
- Top 10 Stress Management Courses to Learn in November 2024
- Top 10 Mindfulness Meditation Courses to Learn in November 2024
- Top 10 Life Coaching Courses to Learn in November 2024
- Top 10 Career Development Courses to Learn in November 2024
- Top 10 Relationship Building Courses to Learn in November 2024
- Top 10 Parenting Skills Courses to Learn in November 2024
- Top 10 Home Improvement Courses to Learn in November 2024
- Top 10 Gardening Courses to Learn in November 2024