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Unlock your Learning Potential !
ISO 9001:2008
Certified Company
Course details:
Course Code : MYT989
Course Name: Data Science: Deep
Learning In Python
Course duration: Fast track – 4 weeks
Regular weekdays – 6 weeks
Week End – 8 weeks
Training mode:
instructor led class training | Live virtual training
Contact: +91 90191 91856
Email:info@mytectra.com
Web: www.mytectra.com
Twitter : https://twitter.com/mytectra
Facebook: https://www.facebook.com/myTectra.Global
Linkedin: https://www.linkedin.com/company-beta/3030278/
Blog: http://mytectra.blogspot.in/
What is a neural network?
 Introduction and Outline
 Neural Networks with No Math
 An almost purely qualitative description of neural networks.
 Where does this course fit into your deep learning studies?
Classifying more than 2 things at a time
 Softmax
 What's the function we use to classify more than 2 things?
 Softmax in Code
 How do we code the softmax in Python?
 Building an entire feedforward neural network in Python
 Let's extend softmax and code the entire calculation from input to output.
myTectra Learning Solutions private Limited
Bangalore-BTM Layout/
+91 90191 91856/ info@mytectra.com / www.mytectra.com
Training a neural network
 Backpropagation Introrn
 Backpropagation - what does the weight update depend on?
 A further look into backpropagation.
 Backpropagation – recursiveness
 Backpropagation for deeper networks, exposing the structure, and how to code it
more efficiently.
 Backpropagation in code
 How to code bacpropagation in Python using numpy operations vs. slow for loops.
Practical concerns k
 Donut and XOR Review
 Donut and XOR Revisited
myTectra Learning Solutions private Limited
Bangalore-BTM Layout/
+91 90191 91856/ info@mytectra.com / www.mytectra.com
 We look again at the XOR and donut problem from logistic regression. The
features are now learned automatically.
 Hyperparameters
TensorFlow and the Future k
 A look at Google's new TensorFlow library.
 Where to go from here
 What did you learn? What didn't you learn? Where can you learn more?
myTectra Learning Solutions private Limited
Bangalore-BTM Layout/
+91 90191 91856/ info@mytectra.com / www.mytectra.com

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Best Data Science Deep Learning In Python in Bangalore

  • 1. Unlock your Learning Potential ! ISO 9001:2008 Certified Company Course details: Course Code : MYT989 Course Name: Data Science: Deep Learning In Python Course duration: Fast track – 4 weeks Regular weekdays – 6 weeks Week End – 8 weeks Training mode: instructor led class training | Live virtual training Contact: +91 90191 91856 Email:info@mytectra.com Web: www.mytectra.com Twitter : https://twitter.com/mytectra Facebook: https://www.facebook.com/myTectra.Global Linkedin: https://www.linkedin.com/company-beta/3030278/ Blog: http://mytectra.blogspot.in/
  • 2. What is a neural network?  Introduction and Outline  Neural Networks with No Math  An almost purely qualitative description of neural networks.  Where does this course fit into your deep learning studies? Classifying more than 2 things at a time  Softmax  What's the function we use to classify more than 2 things?  Softmax in Code  How do we code the softmax in Python?  Building an entire feedforward neural network in Python  Let's extend softmax and code the entire calculation from input to output. myTectra Learning Solutions private Limited Bangalore-BTM Layout/ +91 90191 91856/ info@mytectra.com / www.mytectra.com
  • 3. Training a neural network  Backpropagation Introrn  Backpropagation - what does the weight update depend on?  A further look into backpropagation.  Backpropagation – recursiveness  Backpropagation for deeper networks, exposing the structure, and how to code it more efficiently.  Backpropagation in code  How to code bacpropagation in Python using numpy operations vs. slow for loops. Practical concerns k  Donut and XOR Review  Donut and XOR Revisited myTectra Learning Solutions private Limited Bangalore-BTM Layout/ +91 90191 91856/ info@mytectra.com / www.mytectra.com
  • 4.  We look again at the XOR and donut problem from logistic regression. The features are now learned automatically.  Hyperparameters TensorFlow and the Future k  A look at Google's new TensorFlow library.  Where to go from here  What did you learn? What didn't you learn? Where can you learn more? myTectra Learning Solutions private Limited Bangalore-BTM Layout/ +91 90191 91856/ info@mytectra.com / www.mytectra.com