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 Scientific research: Deep Discovering and also Neural Networks in Python

  1. Learn how Deep Understanding REALLY works (not just some layouts and also magical black box code)
  2. Find out how a neural network is developed from standard foundation (the nerve cell)
  3. Code a semantic network from the ground up in Python and numpy
  4. Code a neural network utilizing Google’s TensorFlow
  5. Explain different kinds of neural networks as well as the different sorts of problems they are made use of for
  6. Derive the backpropagation policy from first principles
  7. Create a semantic network with a result that has K > > 2 courses utilizing softmax
  8. Define the various terms related to neural 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 semantic network making use of deep discovering strategies. Following my previous training course on logistic regression, we take this basic building block, and also construct full-on non-linear neural networks right out of eviction making use of Python and Numpy. All the materials for this program are FREE.

We expand the previous binary classification version to numerous courses using the softmax feature, and also we derive the very vital training method called “backpropagation” utilizing very first principles. I reveal you just how to code backpropagation in Numpy, first “the sluggish method”, and then “the rapid method” utilizing Numpy attributes.

Next, we carry out a neural network using Google’s new TensorFlow library.

You ought to take this training course if you want beginning your journey towards coming to be a master at deep discovering, or if you have an interest in machine learning and also data scientific research in general. We surpass basic versions like logistic regression as well as straight regression and I reveal 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 :4.46 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:4.46 gb
Course duration:7 hours
Instructor Name:Lazy Programmer Inc.
Language:English
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