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Deep Learning and Neural Networks with Python Zero to Expert

Deep Learning with Python for Classification, Semantic and Instance Segmentation, Pose Estimation, and Object Detection

     
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₹1999

This Course Includes

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  • icon5 (7 reviews )
  • icon9.5 total hours
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  • iconOnline - Self Paced
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About Deep Learning and Neural Networks with Python Zero to Expert

Unlock the power of artificial intelligence with our comprehensive course, "Deep Learning with Python ." This course is designed to transform your understanding of machine learning and take you on a journey into the world of deep learning. Whether you're a beginner or an experienced programmer, this course will equip you with the essential skills and knowledge to build, train, and deploy deep learning models using Python and PyTorch. Deep learning is the driving force behind groundbreaking advancements in generative AI, robotics, natural language processing, image recognition, and artificial intelligence. By enrolling in this course, you’ll gain practical knowledge and hands-on experience in applying Python skills to deep learning

Course Outline

Introduction to Deep Learning

Understanding the paradigm shift from machine learning to deep learning

Key concepts of deep learning

Setting up the Python environment for deep learning

Artificial Deep Neural Networks: Coding from Scratch in Python

Fundamentals of artificial neural networks

Building and training neural networks from scratch

Implementing forward and backward propagation

Optimizing neural networks with gradient descent

Deep Convolutional Neural Networks: Coding from Scratch in Python

Introduction to convolutional neural networks (CNNs)

Building and training CNNs from scratch

Understanding convolutional layers, pooling, and activation functions

Applying CNNs to image data

Transfer Learning with Deep Pretrained Models using Python

Concept of transfer learning and its benefits

Using pretrained models for new tasks

Fine-tuning and adapting pretrained models

Practical applications of transfer learning

Deep Learning for Image Classification with Python

Techniques for image classification

Building image classification models

Evaluating and improving model performance

Deploying image classification models

Deep Learning for Pose Estimation with Python

Introduction to pose estimation

Building and training pose estimation models

Using deep learning for human pose estimation

Deep Learning for Instance Segmentation with Python

Understanding instance segmentation

Building and training instance segmentation models

Techniques for segmenting individual objects in images

Deep Learning for Semantic Segmentation with Python

Fundamentals of semantic segmentation

Building and training semantic segmentation models

Techniques for segmenting images into meaningful parts

Real-world applications of Semantic segmentation

Deep Learning for Object Detection with Python

Introduction to object detection

Building and training object detection models

Techniques for detecting and localizing objects in images

Practical use cases and deployment

Who Should Enroll?

Beginners: Individuals with basic programming knowledge who are eager to dive into deep learning.

Intermediate Learners: Those who have some experience with machine learning and wish to advance their skills in deep learning and PyTorch.

Professionals: Data scientists, AI researchers, and software engineers looking to enhance their expertise in deep learning and apply it to real-world problems.

What You'll Gain

A solid foundation in deep learning concepts and techniques

Hands-on experience in building and training various deep learning models from scratch

Proficiency in using Python and PyTorch for deep learning applications

The ability to implement and fine-tune advanced models for image classification, pose estimation, segmentation, and object detection

Practical knowledge to deploy deep learning models in real-world scenarios

Why Choose This Course?

Comprehensive Content: Covers a wide range of deep learning topics and applications.

Hands-on Projects: Practical coding exercises and real-world projects to solidify your understanding.

Expert Guidance: Learn from experienced instructors with deep expertise in deep learning and Python.

Flexible Learning: Access the course materials anytime, anywhere, and learn at your own pace.

Enroll now and embark on your journey to mastering deep learning with Python and PyTorch. Transform your skills and open up new career opportunities in the exciting field of artificial intelligence!

See you inside the course!!

What You Will Learn?

  • Deep Learning with Python and Pytorch Complete Guide.
  • Machine Learning to Deep Learning Paradigm Shift Key Concepts.
  • Artificial Deep Neural Networks Coding from Scratch in Python.
  • Deep Convolutional Neural Networks Coding from Scratch in Python.
  • Transfer Learning with Deep Pretrained Models using Python.
  • Deep Learning for Image Classification with Python.
  • Deep Learning for Pose Estimation with Python.
  • Deep Learning for Instance Segmentation with Python.
  • Deep Learning for Semantic Segmentation with Python.
  • Deep Learning for Object Detection with Python.
  • Train, Test and Deploy Deep Learning Models for Real-world Applications.
  • Calculate Performance Metrics (Accuracy, Precision, Recall, IOU) with Python.