Description:

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.