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All Courses

  • DATA SCIENCE, MACHINE LEARNING AND AI

  • DEVOPS

  • CLOUD COMPUTING

  • SOFTWARE DEVELOPMENT AND TESTING

  • IT SERVICE AND PROJECT MANAGEMENT

  • MOBILE & WEB DEVELOPMENT

  • CYBER SECURITY, NETWORKING & BLOCK CHAIN

  • DATABASES & BIG DATA

  • BUSINESS INTELLIGENCE

  • WINDOWS & VIRTUALIZATION

Deep Learning with Python Course Overview

Deep Learning with Python Course Overview Unlock the power of deep learning with our comprehensive course using Python. Dive into neural networks, convolutional networks, and recurrent networks while mastering the Python libraries TensorFlow and Keras. Gain hands-on experience building and training models for image recognition, natural language processing, and more. This course is designed for those with a basic understanding of Python and machine learning, aiming to transform their skill

Deep Learning with PythonTraining Key Features
  • Comprehensive Curriculum
  • Hands-on Projects
  • Model Optimization
  • TensorFlow and Keras
  • Data Preprocessing
  • Python Integration.
Skills Covered
  • Python Programming
  • Neural Network Architecture
  • TensorFlow and Keras
  • Convolutional Neural Networks (CNNs)
  • Recurrent Neural Networks (RNNs)
  • Natural Language Processing (NLP)
  • View More
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Deep Learning with Python Course Curriculum

Benefits

Cutting-Edge Technology Career Advancement Problem-Solving Skills Versatility Practical Experience Community and Networking Future-Proof Skills Innovation Opportunities

Pre-requisites

Before starting a Deep Learning with Python course, you should have a solid understanding of Python programming, including basic syntax, data structures, and object-oriented principles. Familiarity with fundamental machine learning concepts and algorithms is essential. Additionally, a strong foundation in linear algebra, calculus, and probability/statistics is crucial for grasping deep learning concepts. Experience with libraries like NumPy and Pandas will also be beneficial.

Course Content

Download Syllabus

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