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🧬 Deep Learning

Master Neural Networks and Advanced AI Architectures

Duration

14 Weeks

Level

Advanced

Price

Rs.20,000

Batch Size

15 Students

Course Overview

This advanced Deep Learning course dives deep into neural network architectures, advanced optimization techniques, and cutting-edge AI applications. You'll master convolutional neural networks, recurrent neural networks, transformers, and generative models using TensorFlow and PyTorch.

Course Syllabus

Module 1: Neural Networks Deep Dive
  • Advanced neural network architectures
  • Backpropagation and gradient flow
  • Activation functions and loss functions
  • Weight initialization and optimization
Module 2: Convolutional Neural Networks
  • CNN architectures and layers
  • Image classification and feature extraction
  • Transfer learning and fine-tuning
  • Object detection with YOLO and R-CNN
Module 3: Recurrent Neural Networks
  • RNN, LSTM, and GRU architectures
  • Sequence modeling and time series
  • Attention mechanisms
  • Transformer architecture
Module 4: Generative Models
  • Autoencoders and variational autoencoders
  • Generative Adversarial Networks (GANs)
  • Diffusion models
  • Text generation with GPT models
Module 5: Advanced Topics
  • Reinforcement Learning basics
  • Graph Neural Networks
  • Meta-learning and few-shot learning
  • Model compression and quantization
Module 6: Production Deployment
  • Model optimization and serving
  • TensorFlow Serving and TorchServe
  • MLOps and model monitoring
  • Edge deployment and mobile AI
Module 7: Capstone Projects
  • Advanced computer vision project
  • Natural language processing application
  • Generative AI project
  • End-to-end ML pipeline

Ready to Dive Deep into AI?