Data Science: Deep Learning and Neural Networks in Python free download

Data Science: Deep Learning and Neural Networks in Python free download
Data Science: Deep Learning and Neural Networks in Python . Learn how Deep Learning REALLY works (not just diagrams and black box code) Learn how a neural network is built from basic building blocks (the neuron) Code a . neural network from scratch in Python and numpy . Code a neural . network using Google’s TensorFlow to build your first artificial neural network using deep learning techniques . This course will get you started in building your FIRST artificial . neural neural network with an output that has K > 2 classes using softmax . The course will also teach you how to use Tensor Flow to build a neural. network with K > . 2 classes .

What you’ll learn in Data Science: Deep Knowing and also Neural Networks in Python

  1. Learn how Deep Discovering REALLY works (not just some layouts and magical black box code)
  2. Learn just how a semantic network is constructed from standard foundation (the neuron)
  3. Code a neural network from scratch in Python and numpy
  4. Code a semantic network making use of Google’s TensorFlow
  5. Explain various sorts of neural networks as well as the various sorts of troubles they are utilized for
  6. Derive the backpropagation rule from initial principles
  7. Create a semantic network with an outcome that has K > > 2 courses using softmax
  8. Describe the various terms associated with semantic networks, such as “activation”, “backpropagation” as well as “feedforward”
  9. Install TensorFlow

Description

This training course will get you begun in building your FIRST man-made neural network making use of deep discovering methods. Following my previous program on logistic regression, we take this standard foundation, as well as construct full-on non-linear neural networks right out of the gate using Python as well as Numpy. All the materials for this training course are FREE.

We prolong the previous binary category design to numerous classes using the softmax function, and we acquire the very important training method called “backpropagation” using first concepts. I reveal you just how to code backpropagation in Numpy, initially “the sluggish way”, and afterwards “the rapid method” making use of Numpy attributes.

Next off, we carry out a semantic network using Google’s brand-new TensorFlow library.

You must take this program if you are interested in beginning your journey toward coming to be a master at deep learning, or if you are interested in machine learning and also data science as a whole. We go beyond basic versions like logistic regression and also linear regression and I show you something that.

Who this course is for:

  • Students interested in machine learning – you’ll get all the tidbits you need to do well in a neural networks course
  • Professionals who want to use neural networks in their machine learning and data science pipeline. Be able to apply more powerful models, and know its drawbacks.
File Name :Data Science: Deep Learning and Neural Networks in Python free download
Content Source:udemy
Genre / Category:Data Science
File Size :4.31 gb
Publisher :Lazy Programmer Inc.
Updated and Published:07 Jul,2022
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File name: Data-Science-Deep-Learning-and-Neural-Networks-in-Python.rar
File Size:4.31 gb
Course duration:8 hours
Instructor Name:Lazy Programmer Inc.
Language:English
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