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Deep Learning Fundamentals

10,000.00

( 0 Review )

Course Level

Intermediate

Total Hour

180h

Video Tutorials

18

Course content

180h

Month 1: Introduction to Deep Learning

Introduction to Artificial Intelligence and Machine Learning
Introduction to Deep Learning and its applications
Introduction to Neural Networks and Deep Learning Models
Gradient Descent and Backpropagation
Deep Learning Frameworks (e.g., TensorFlow, Keras, PyTorch)
Setting up a Deep Learning Environment (e.g., Python, Anaconda, Jupyter Notebook)

Month 2: Deep Learning Models and Techniques

Month 3: Advanced Deep Learning Topics

About Course

This course targets aspiring data scientists interested in acquiring hands-on experience with Deep Learning

What Will You Learn?

  • To make the most out of this course, you should have familiarity with programming on a Python development environment, as well as fundamental understanding of Data Cleaning, Exploratory Data Analysis, Unsupervised Learning, Supervised Learning, Calculus, Linear Algebra, Probability, and Statistics.

Material Includes

  • Live Classes
  • 100% Online Course
  • Hands-on Project
  • Shareable Certificate

Requirements

  • To make the most out of this course, you should have familiarity with programming on a Python development environment, as well as fundamental understanding of Data Cleaning, Exploratory Data Analysis, Unsupervised Learning, Supervised Learning, Calculus, Linear Algebra, Probability, and Statistics.

Instructor

JG
0 /5

21 Courses

AG
4.44 /5

78 Courses

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Material Includes

  • Live Classes
  • 100% Online Course
  • Hands-on Project
  • Shareable Certificate

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