FREE MODULE

What you will learn

  • Fundamental concepts of Deep Learning, including various Neural Networks for supervised and unsupervised learning.
  • Use of popular Deep Learning libraries such as Keras, PyTorch, and Tensorflow applied to industry problems.
  • Build, train, and deploy different types of Deep Architectures, including Convolutional Networks, Recurrent Networks, and Autoencoders.
  • Fundamental concepts of Deep Learning, including various Neural Networks for supervised and unsupervised learning.
  • Use of popular Deep Learning libraries such as Keras, PyTorch, and Tensorflow applied to industry problems.


Courses in this Program