Deep Learning & Neural Networks
New ProgramExpert Mentorship

Deep Learning & Neural Networks

Go beyond basic ML with deep neural networks. Learn CNNs, RNNs, and Transformers while building computer vision and NLP models.

Limited Time Offer
11,99949,999
4-6 Weeks
40-50 Hours

Live Q&A

Expert doubt clearing

Career Support

1:1 Mentorship

Program Curriculum

A comprehensive, step-by-step roadmap designed to take you from fundamentals to advanced expertise.

WEEK 1

Deep Neural Networks Fundamentals

  • Architecture of Deep Nets
  • Activation functions (ReLU, GeLU)
  • Forward and Backpropagation
  • Initialization strategies
WEEK 2

Optimization & Regularization

  • Stochastic Gradient Descent
  • Adam & RMSProp
  • Dropout & Batch Norm
  • Weight Decay
WEEK 3

Convolutional Neural Networks (CNN) Basics

  • Convolution operations
  • Pooling & Stride
  • LeNet/AlexNet architecture
  • Feature map visualization
WEEK 4

Advanced CNNs & Object Detection

  • ResNet & Inception
  • YOLO & Faster R-CNN
  • Image Segmentation (U-Net)
  • Transfer Learning
WEEK 5

Sequence Models & RNNs

  • Recurrent Neural Networks
  • Vanishing Gradients
  • LSTM & GRU
  • Time Series forecasting
WEEK 6

Attention Mechanism & Transformers

  • Self-Attention
  • Encoder-Decoder architecture
  • Transformer blocks
  • Vision Transformers (ViT)
WEEK 7

Generative Adversarial Networks (GANs)

  • Generator vs Discriminator
  • DCGAN
  • StyleGAN basics
  • Image-to-Image translation
WEEK 8

Reinforcement Learning Foundations

  • Markov Decision Processes
  • Q-Learning
  • Policy Gradients
  • Deep Q-Networks
WEEK 9

Model Quantization & Edge Deployment

  • Model compression
  • TensorRT optimization
  • Mobile deployment
  • Deployment on Raspberry Pi/Edge
WEEK 10

Capstone: End-to-end Deep Learning System

  • Real-time detection system
  • NLP Chatbot build
  • Model optimization for production
  • Final Pitch

Ready to level up your career with Deep Learning & Neural Networks?

11,99949,999SPECIAL OFFER
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