Description:

Deep Learning is a subset of machine learning that involves training neural networks to learn from data and make decisions. This course covers various deep learning techniques such as convolutional neural networks (CNNs), recurrent neural networks (RNNs), and generative adversarial networks (GANs). Students will gain hands-on experience with deep learning frameworks like TensorFlow and PyTorch.

Key Highlights:

• Neural Networks
• Convolutional Neural Networks
• Recurrent Neural Networks
• TensorFlow
• PyTorch

What you will learn:

• Build Neural Networks
  Learn to design and train neural networks for various tasks.
• Implement CNNs and RNNs
  Explore the applications and implementation of Convolutional Neural Networks and Recurrent Neural Networks.
• Hands-on with TensorFlow and PyTorch
  Get practical experience using popular deep learning frameworks in real-world projects.