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Free Certificate

Fundamentals of Deep Learning and Neural Networks

Join this free deep learning course to explore neural networks, model training, and AI applications. Get expert-led deep learning training, and hands-on insights, and earn a free certification.

28 hours of learning

Neural Networks

Development News Story

Deep Learning

For enquiries call:
18002102020
Fundamentals of Deep Learning of Neural Networks

KEY HIGHLIGHTS

What You Will Learn

FeedForward Neural Networks

Learn how information flows through deep learning neural networks from the input layer to the output layer. Explore the inference process and its role in AI applications.

Topics Covered:

  • Info Flow Between Two Layers – Discover how data moves through different layers in a neural network.
  • Inference in Neural Networks – Understand how neural networks make predictions based on input data.
  • Basic Image Recognition – Explore how deep learning is used for image classification tasks.

Backpropagation in NN

Understand the backpropagation algorithm, a key training method for deep learning neural networks. Learn to implement backpropagation and build a neural network using NumPy.

Topics Covered:

  • Training a Neural Network – Learn how neural networks learn from data through iterative training.
  • Cost Function – Understand the role of cost functions in optimizing neural networks.
  • Gradient Descent in Neural Networks – Explore how gradient descent is used for network optimization.
  • Backpropagation Algorithm – Learn the step-by-step process of training deep-learning neural networks.

Modifications to NN

Discover best practices for optimizing deep learning neural networks. Learn about regularization techniques, dropout layers, and batch normalization, along with practical implementation using TensorFlow and Keras.

Topics Covered:

  • Regularization Strategies – Understand methods to prevent overfitting in deep learning models.
  • Dropouts – Learn how dropout layers improve neural network generalization.
  • Batch Normalization – Explore how batch normalization enhances training efficiency.
  • Building Neural Networks in Keras – Implement deep learning models using Keras.

Hyperparameter Tuning

Learn the essentials of gradient descent and explore advanced optimization techniques. Understand how hyperparameter tuning improves deep learning model performance.

Topics Covered:

  • Defining a Loss Function – Learn how loss functions measure network performance.
  • Gradient Descent – Understand the role of gradient descent in optimizing neural networks.
  • AdaGrad – Explore AdaGrad, an adaptive learning rate optimization algorithm.
  • RMSProp – Learn how RMSProp enhances gradient descent performance.
  • Adam – Understand the Adam optimization algorithm and its advantages.

Deep Learning Neural Networks Certification

Earn and Share Your Certificate

Official & Verifiable

Receive a signed and verifiable e-certificate from upGrad upon successfully completing the course.

Share Your Achievement

Post your certificate on LinkedIn or add it your resume! You can even share it on Instagram or Twitter.

Stand Out to Recruiters

Use your certificate to enhance your professional credibility and stand out among your peers!

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Benefits of pursuing Deep Learning Neural Networks course?

Enhance your AI expertise with this deep learning neural networks free course, designed for beginners and professionals alike. Whether you want to master neural networks, understand backpropagation, or build AI models, this deep learning neural networks online program offers industry-relevant knowledge at no cost.

Key Benefits:

Master Neural Network Architecture: Learn how deep learning models are structured, how they process information, and how to build neural networks from scratch. A core skill for AI Engineers, Machine Learning Developers, and Research Analysts.

Build & Evaluate AI Models: With this deep learning neural networks online course, you’ll gain hands-on training in building, testing, and refining AI models—skills vital for data scientists, analysts, and even marketers leveraging AI tools.

Develop Strong AI & Deep Learning Foundations: Master key modules from the deep learning neural networks syllabus, including supervised learning, activation functions, and more—ideal for roles in computer vision, NLP, and robotics.

Boost Resume & LinkedIn Profile with a Certificate: Upon completion, earn a deep learning neural networks certification that you can proudly display on your resume and LinkedIn. It signals your readiness for tech-driven roles—even if you’re a fresher or switching careers.

Gain Credibility with Employers: Completing this deep learning neural networks course online showcases your initiative and ability to learn complex, industry-relevant AI tools, making you a more attractive candidate to recruiters and hiring managers.

Who should enroll in free Deep Learning Neural Networks course?

This online deep learning neural networks course is designed for anyone eager to explore the power of artificial intelligence and neural networks. Whether you are a student, a working professional, or a tech enthusiast, this deep learning neural networks online training will provide you with essential skills to excel in AI-driven industries.

This course is ideal for:

Students & Fresh Graduates – Gain a strong foundation in deep learning and neural networks to kickstart a career in AI and data science.

Working Professionals – Upgrade your technical expertise with this deep learning neural networks online certification and enhance career opportunities in AI, machine learning, and automation.

Entrepreneurs & Business Leaders – Learn how deep learning can optimize decision-making, automate business processes, and drive innovation.

AI & Tech Enthusiasts – Dive deep into the deep learning neural networks syllabus and understand the core principles of neural networks, backpropagation, and model optimization.

Software Developers & Data Scientists – Strengthen your AI skills with hands-on learning in this deep learning neural networks program, preparing you for real-world AI challenges.

Anyone Interested in AI & Neural Networks – If you are curious about AI and want to explore its practical applications, this deep learning neural networks free course is a perfect starting point.

What makes Deep Learning Neural Networks course with upGrad Different?

With countless deep learning neural network courses online, choosing the right one can be overwhelming. Unlike many platforms that offer only partial access or require payments for certification, this deep learning neural networks free course delivers a complete, in-depth learning experience.

How this course compares to others:

Feature

upGrad (This Course)

Other Platforms

Course Fee

✅ 100% Free

❌ Paid or Limited Free Access

Lifetime Access

✅ Yes

❌ Limited or No Access After Completion

Certification

✅ Free Deep Learning Neural Networks Certification Online

❌ Often Requires Payment

Hands-On Learning

✅ Practical Implementation with Neural Networks

❌ Mostly Theoretical

Industry-Relevant Skills

✅ Covers AI, Deep Learning, and Model Optimization

❌ Limited Practical Exposure

Beginner & Expert-Friendly

✅ Designed for All Skill Levels

❌ Often Requires Prior Knowledge

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