[Udemy] Crash Course in Deep Learning with Google TensorFlow|Python

Deal Score0
Deal Score0
Spread the love
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  

What you’ll learn

  • TensorFlow installation
  • Different TensorFlow Environments
  • Computation graphs
  • Artificial Neural Networks (ANN)
  • Convolutional Neural networks (CNN)
  • Regularization in Neural Networks – Dropout and Max Pooling
  • Keras & TfLearn
  • Building a custom Image Classifier on ANY Dataset
  • Extensive Assignments :Test your Understanding & Periodic Updates on the Subject
  • Transfer learning and how to use Google inception

Requirements

  • Knowledge of at least one programming language
  • Basic math and statistics

Description

This course lays a solid foundation to TensorFlow, a leading machine learning library from Google AI team. You’ll see how TensorFlow can create a range of machine learning models, custom deep neural networks to transfer learning models built by big tech giants. You will learn how to use and reuse tensorflow effectively and apply on industry relevant problems.

Who this course is for:

  • Anyone who wants to study and build neural networks and deep learning using Google Tensorflow
We will be happy to hear your thoughts

Leave a reply