Neural Networks Explained: From Zero to Hero — With PyTorch Projects
- Description
- Curriculum
- FAQ
- Reviews
- What You’ll Learn
- Core Theory & Math: How neural networks work—weights, biases, activation functions, backpropagation, and gradient descent.
- Hands-on Implementation: Build a neural network from scratch in Python (using NumPy) without relying on high-level libraries.
- Optimization & Debugging: Hyperparameter tuning, batch normalization, and avoiding overfitting.
- Real-World Project: Apply concepts by developing a neural network for digit recognition (MNIST dataset).
- Who This Course Is For
✔ Beginners in AI/ML who want a strong foundational understanding (basic Python required).
✔ Developers & Engineers who prefer coding neural networks without frameworks (TensorFlow/PyTorch) first.
✔ Students & Professionals preparing for deeper ML/deep learning studies.
✔ Anyone who learns best through live instruction (not just pre-recorded videos).
- Course Format & Schedule
- Teaching Method: Live Zoom classes (interactive lectures + Q&A).
- Materials: PowerPoint slides for each topic + code examples.
- Assessments: Quizzes after each module to reinforce learning.
- Duration: 3 months (weekend-only sessions).
- Total Hours: ~10–12 hours (e.g., 1-hour sessions every Saturday/Sunday).
- Prerequisites: Basic Python and linear algebra (matrices, derivatives).
- Outcome: A self-built neural network and certificate of completion.
Introduction to Neural Networks
Backpropagation: Theory and Implementation
Activation Functions in Practice
Feedforward Networks
Convolutional Neural Networks (CNNs)
Recurrent Neural Networks (RNNs)
Advanced Architectures
Transformer Networks
Linear Algebra Essentials
Reinforcement Learning Integration
PyTorch Deep Learning Projects – From Fundamentals to Transformers
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Start with PyTorch – Learn the basics with hands-on, beginner-friendly notebooks. -
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Build Your First Neural Net – Code real models using PyTorch + Lightning.
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24
Handle Complex Data – Work with networks that take multiple inputs and outputs.
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25
Master CNNs – Create image-based models from scratch.
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Implement LSTMs – Tackle sequential data like time series and text.
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Create Word Embeddings – Learn how machines understand language.
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Explore Autoencoders – Compress and reconstruct data with unsupervised learning.
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Code a Transformer – Build a simplified ChatGPT-style model step by step.
Is this course suitable for complete beginners?
This course dives deep into neural networks and assumes familiarity with core data science concepts like Python programming, statistics, and machine learning fundamentals. If you're new to data science, we recommend starting with our "Mastering Data Science" course to build the necessary skills. Once comfortable with those basics, you'll be fully prepared to tackle these advanced neural network topics!
Can I pay in installments?
A: Yes! Choose:
• Full payment (5% discount)
• 2-month interest-free installments
• Full payment (5% discount)
• 2-month interest-free installments
How do I get my certificate?
Automatically downloadable from your student dashboard after completing all projects or will be sent to your email ID.
How flexible is the schedule?
Weekend Batch: Sat - Sun (1.5 hr/day as per your convenience)
Is this course online or offline?
This is primarily an online learning program – no need to visit any physical center! Engage, Ask, Learn - Live! However, if you're based in Vadodara and prefer in-person training, we’re happy to arrange offline batches. Just WhatsApp us at +91 92743 73121 to discuss options.
Will I get access to course material after finishing the course?
Yes! You’ll get lifetime access to:
• All PPT slides (PDF format)
• Python/R code templates
• Project guides & datasets
• Cheat sheets (stats formulas, key concepts)
• All PPT slides (PDF format)
• Python/R code templates
• Project guides & datasets
• Cheat sheets (stats formulas, key concepts)
How do I enroll and get access to the course?
Purchase: Create an account (or log in), complete the payment, and gain access to the course materials.
Live Sessions: After payment, our team will contact you within 24–48 hours to schedule your live training batches.
Live Sessions: After payment, our team will contact you within 24–48 hours to schedule your live training batches.
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