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ARTIFICIAL INTELLIGENCE

Deep Learning

Dive into Deep Learning — neural networks, CNNs, RNNs and generative models. Build and train models using TensorFlow and Keras.

⏱ 10 Weeks
📚 66 Lessons
🌐 Hindi + English
💳 ₹14,999
View Curriculum

What you'll learn

✓Neural network fundamentals
✓Forward & backward propagation
✓Building models with TensorFlow/Keras
✓Convolutional Neural Networks (CNN)
✓Recurrent Neural Networks (RNN), LSTM & GRU
✓Natural Language Processing basics
✓Transfer learning techniques
✓Regularization & batch normalization
✓Autoencoders & GANs
✓Model deployment basics

Course Curriculum

01
Introduction to Deep Learning
3 lessons
▾
Introduction to Deep Learning – Fundamentals
Introduction to Deep Learning – Key Concepts
Introduction to Deep Learning – Hands-on Practice
02
Neural Network Basics
3 lessons
▾
Neural Network Basics – Fundamentals
Neural Network Basics – Key Concepts
Neural Network Basics – Hands-on Practice
03
Perceptron & Activation Functions
4 lessons
▾
Perceptron & Activation Functions – Fundamentals
Perceptron & Activation Functions – Key Concepts
Perceptron & Activation Functions – Hands-on Practice
Perceptron & Activation Functions – Quiz & Review
04
Forward & Backward Propagation
3 lessons
▾
Forward & Backward Propagation – Fundamentals
Forward & Backward Propagation – Key Concepts
Forward & Backward Propagation – Hands-on Practice
05
Loss Functions & Optimizers
3 lessons
▾
Loss Functions & Optimizers – Fundamentals
Loss Functions & Optimizers – Key Concepts
Loss Functions & Optimizers – Hands-on Practice
06
Building Neural Networks with TensorFlow/Keras
4 lessons
▾
Building Neural Networks with TensorFlow/Keras – Fundamentals
Building Neural Networks with TensorFlow/Keras – Key Concepts
Building Neural Networks with TensorFlow/Keras – Hands-on Practice
Building Neural Networks with TensorFlow/Keras – Quiz & Review
07
Convolutional Neural Networks (CNN)
3 lessons
▾
Convolutional Neural Networks (CNN) – Fundamentals
Convolutional Neural Networks (CNN) – Key Concepts
Convolutional Neural Networks (CNN) – Hands-on Practice
08
Image Classification with CNN
3 lessons
▾
Image Classification with CNN – Fundamentals
Image Classification with CNN – Key Concepts
Image Classification with CNN – Hands-on Practice
09
Recurrent Neural Networks (RNN)
4 lessons
▾
Recurrent Neural Networks (RNN) – Fundamentals
Recurrent Neural Networks (RNN) – Key Concepts
Recurrent Neural Networks (RNN) – Hands-on Practice
Recurrent Neural Networks (RNN) – Quiz & Review
10
LSTM & GRU
3 lessons
▾
LSTM & GRU – Fundamentals
LSTM & GRU – Key Concepts
LSTM & GRU – Hands-on Practice
11
Natural Language Processing Basics
3 lessons
▾
Natural Language Processing Basics – Fundamentals
Natural Language Processing Basics – Key Concepts
Natural Language Processing Basics – Hands-on Practice
12
Transfer Learning
4 lessons
▾
Transfer Learning – Fundamentals
Transfer Learning – Key Concepts
Transfer Learning – Hands-on Practice
Transfer Learning – Quiz & Review
13
Regularization Techniques
3 lessons
▾
Regularization Techniques – Fundamentals
Regularization Techniques – Key Concepts
Regularization Techniques – Hands-on Practice
14
Batch Normalization
3 lessons
▾
Batch Normalization – Fundamentals
Batch Normalization – Key Concepts
Batch Normalization – Hands-on Practice
15
Autoencoders
4 lessons
▾
Autoencoders – Fundamentals
Autoencoders – Key Concepts
Autoencoders – Hands-on Practice
Autoencoders – Quiz & Review
16
Generative Adversarial Networks (GANs)
3 lessons
▾
Generative Adversarial Networks (GANs) – Fundamentals
Generative Adversarial Networks (GANs) – Key Concepts
Generative Adversarial Networks (GANs) – Hands-on Practice
17
Model Deployment Basics
3 lessons
▾
Model Deployment Basics – Fundamentals
Model Deployment Basics – Key Concepts
Model Deployment Basics – Hands-on Practice
18
Working with GPU/Colab
4 lessons
▾
Working with GPU/Colab – Fundamentals
Working with GPU/Colab – Key Concepts
Working with GPU/Colab – Hands-on Practice
Working with GPU/Colab – Quiz & Review
19
Deep Learning Frameworks Overview
3 lessons
▾
Deep Learning Frameworks Overview – Fundamentals
Deep Learning Frameworks Overview – Key Concepts
Deep Learning Frameworks Overview – Hands-on Practice
20
Capstone Deep Learning Project
3 lessons
▾
Capstone Deep Learning Project – Fundamentals
Capstone Deep Learning Project – Key Concepts
Capstone Deep Learning Project – Hands-on Practice

Requirements

💻 No prior knowledge required — beginner friendly
📱 A laptop or desktop to practice
🌐 Basic internet connection
🗣️ Course explained in simple Hindi + English

What you'll get

🎓
Certificate
On Completion
♾️
Access
Lifetime
📥
Resources
Downloadable Notes
🛠️
Support
Doubt Solving
₹14,999one-time