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Deep Learning with Python

AI Training — 4-5 Days | Online

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Duration
4-5 Days
Mode
Online
Level
Advanced
Availability
On Demand

Course Overview

Master deep learning techniques using Python, TensorFlow and Keras. Build neural networks, CNNs and RNNs for real-world AI applications.

Course Objectives

  • ✓ Understand neural network architecture
  • ✓ Build deep learning models
  • ✓ Implement CNNs for image recognition
  • ✓ Develop RNNs for sequence data
  • ✓ Deploy models to production

Course Curriculum

+ Module 1: Deep Learning Foundations
  • ► Neural networks basics
  • ► Activation functions
  • ► Backpropagation
  • ► TensorFlow and Keras setup
+ Module 2: CNNs
  • ► CNN architecture
  • ► Image classification
  • ► Object detection
  • ► Transfer learning
+ Module 3: RNNs
  • ► RNN and LSTM architecture
  • ► Sequence modeling
  • ► Time series prediction
  • ► NLP with RNNs
+ Module 4: Deployment
  • ► Model optimization
  • ► TensorFlow Serving
  • ► REST API deployment
  • ► Cloud deployment

Enquire About This Course

Who Should Attend

  • ✓Data Scientists
  • ✓Python Developers
  • ✓ML Engineers
  • ✓AI Researchers

What You Will Gain

  • ★Deep learning expertise
  • ★Model building skills
  • ★Portfolio projects
  • ★Certificate of completion

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