Deep Learning With Python
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Deep Learning With Python

"Unlock the Ultimate Potential of Artificial Intelligence with Deep Learning Using Python - Master the Algorithms to Build AI Applications"

Instructor: Vishnu

Language: Malayalam

Validity Period: Lifetime



Learn how to build deep learning models in Python with the TensorFlow and Keras frameworks. This course covers the theory and practical implementation of artificial neural networks, convolutional neural networks, and recurrent neural networks for tasks such as image classification, natural language processing, and time series analysis.

Key Highlights:

  • Understand the fundamentals of deep learning
  • Implement deep learning models with TensorFlow and Keras
  • Build image classification models with convolutional neural networks
  • Create natural language processing models with recurrent neural networks
  • Analyze time series data with deep learning techniques

What you will learn:

  • Deep Learning Fundamentals
    Foundations of artificial neural networks, loss functions, and backpropagation.
  • Building Deep Learning Models with Keras
    Developing deep learning models with Keras, a high-level neural networks API written in Python.
  • Convolutional Neural Networks
    Understand how convolutional neural networks work and use them to build an image classification model.
  • Recurrent Neural Networks for NLP
    Learn how to process and classify natural language data with recurrent neural networks.
  • Time Series Analysis with Deep Learning
    Understand how to apply deep learning techniques to time series analysis, such as stock prices and weather data.
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