Packt
Deep Learning with Real-World Projects Specialization
Packt

Deep Learning with Real-World Projects Specialization

Master Deep Learning Algorithms Using Python. Learn how to use Python to implement deep learning algorithms along with mathematical concepts as you progress from beginner to master level

Packt

Instructor: Packt

Included with Coursera Plus

Get in-depth knowledge of a subject
Beginner level

Recommended experience

1 month
at 10 hours a week
Flexible schedule
Learn at your own pace
Get in-depth knowledge of a subject
Beginner level

Recommended experience

1 month
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Understand the principles and functioning of various deep learning architectures and algorithms.

  • Implement neural networks using TensorFlow and Keras for various tasks such as image classification and natural language processing.

  • Evaluate the performance of different neural network models and identify the factors influencing their accuracy and efficiency.

  • Design and develop comprehensive deep learning projects, integrating multiple techniques and tools to address complex AI challenges.

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Taught in English
Recently updated!

September 2024

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  • Master a subject or tool with hands-on projects
  • Develop a deep understanding of key concepts
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Specialization - 3 course series

What you'll learn

  • Run Python programs for tasks using numeric operations, control structures, and functions.

  • Analyze data with NumPy and Pandas for comprehensive data insights.

  • Evaluate the performance of linear regression and KNN classification models.

  • Develop optimized machine learning models using gradient descent.

Skills you'll gain

Category: NumPy
Category: Python (Programming Language)
Category: KNN
Category: Machine Learning
Category: Pandas (Python Package)

What you'll learn

  • Understand the concepts of perceptrons and multi-layer neural networks.

  • Apply training techniques, including backpropagation and regularization.

  • Analyze convolutional neural networks for image and video analysis.

  • Evaluate and create deep learning projects using frameworks like TensorFlow and Keras.

Skills you'll gain

Category: Keras (Neural Network Library)
Category: Backpropagation
Category: Machine Learning
Category: TensorFlow
Category: Artificial Intelligence

What you'll learn

  • Apply transfer learning techniques to enhance model performance.

  • Utilize RNNs and LSTMs for sequence prediction tasks.

  • Develop practical solutions for industry-specific problems.

  • Master the integration of advanced neural networks in real-world applications.

Skills you'll gain

Category: Sequence Prediction
Category: Transfer Learning
Category: TensorFlow
Category: Advanced CNNs
Category: Recurrent Networks

Instructor

Packt
Packt
196 Courses2,786 learners

Offered by

Packt

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