Get $1 credit for every $25 spent!
Get $1 credit for every $25 spent!
$10 $39.99 74% off wishlist
ADD TO CART
Add to Cart ($10)

Instructor

Ending In:
This book starts by introducing you to supervised learning algorithms such as simple linear regression, the classical multilayer peceptron, and more sophisticated deep convolutional networks. You'll also explore image processing, Recurrent Networks, and unsupervised learning algorithms such as Autoencoders. Finally, you'll take a look at Reinforcement Learning and its application to AI game playing, another popular direction of research and application of neural networks.

  • Access 318 pages of digital content 24/7
  • Optimize step-by-step functions on a large neural network using the Backpropagation Algorithm
  • Fine tune a neural network to improve the quality of results
  • Use deep learning for image & audio processing
  • Utilize Recursive Neural Tensor Networks (RNTNs) to outperform standard word embedding in special cases
  • Identify problems for which Recurrent Neural Network (RNN) solutions are suitable
  • Explore the process required to implement Autoencoders
  • Evolve a deep neural network using reinforcement learning
Packt’s mission is to help the world put software to work in new ways, through the delivery of effective learning and information services to IT professionals. Working towards that vision, it has published over 4,000 books and videos so far, providing IT professionals with the actionable knowledge they need to get the job done–whether that’s specific learning on an emerging technology or optimizing key skills in more established tools.

Details & Requirements

  • Length of time users can access this course: lifetime
  • Access options: web streaming, mobile streaming
  • Certification of completion not included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: all levels

Compatibility

  • Internet required

Terms

  • Instant digital redemption