Complete Guide to TensorFlow for Deep Learning with Python


 

Full Information to TensorFlow for Deep Studying with Python | WebCourses

Discover ways to use Google’s Deep Studying Framework – TensorFlow with Python! Remedy issues with leading edge strategies!

What you’ll study

Full Information to TensorFlow for Deep Studying with Python | WebCourses

  • Perceive how Neural Networks Work
  • Construct your individual Neural Community from Scratch with Python
  • Use TensorFlow for Classification and Regression Duties
  • Use TensorFlow for Picture Classification with Convolutional Neural Networks
  • Discover ways to use TensorFlow for Time Collection Evaluation with Recurrent Neural Networks
  • Use TensorFlow for fixing Unsupervised Studying Issues with AutoEncoders
  • Discover ways to conduct Reinforcement Studying with OpenAI Fitness center
  • Create Generative Adversarial Networks with TensorFlow
  • Change into a Deep Studying Guru!

Necessities

  • Some information of programming (ideally Python)
  • Some fundamental information of math (imply, customary deviation, and many others..)

Description

 

Welcome to the Full Information to TensorFlow for Deep Studying with Python!

This course will information you thru how one can use Google’s TensorFlow framework to create synthetic neural networks for deep studying! This course goals to offer you a simple to know information to the complexities of Google’s TensorFlow framework in a means that’s straightforward to know. Different programs and tutorials have tended to steer clear of pure TensorFlow and as an alternative use abstractions that give the consumer much less management. Right here we current a course that lastly serves as a whole information to utilizing the TensorFlow framework as meant whereas exhibiting you the most recent strategies obtainable in deep studying!

This course covers a wide range of matters, together with

  • Neural Community Fundamentals
  • TensorFlow Fundamentals
  • Synthetic Neural Networks
  • Densely Related Networks
  • Convolutional Neural Networks
  • Recurrent Neural Networks
  • AutoEncoders
  • Reinforcement Studying
  • OpenAI Fitness center
  • and rather more!

There are numerous Deep Studying Frameworks on the market, so why use TensorFlow?

TensorFlow is an open-source software program library for numerical computation utilizing knowledge circulate graphs. Nodes within the graph characterize mathematical operations, whereas the graph edges characterize the multidimensional knowledge arrays (tensors) communicated between them. The versatile structure means that you can deploy computation to a number of CPUs or GPUs in a desktop, server, or cellular system with a single API. TensorFlow was initially developed by researchers and engineers engaged on the Google Mind Group inside Google’s Machine Intelligence analysis group for the needs of conducting machine studying and deep neural networks analysis, however the system is basic sufficient to be relevant in all kinds of different domains as properly.

Who this course is for:

Full Information to TensorFlow for Deep Studying with Python | WebCourses

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