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Neural Networks in Python from Scratch: Complete guide

Neural Networks in Python from Scratch: Complete guide

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8.9/10 (Our Score)
Product is rated as #62 in category Machine Learning

Artificial neural networks are considered to be the most efficient Machine Learning techniques nowadays, with companies the likes of Google, IBM and Microsoft applying them in a myriad of ways. You ve probably heard about self–driving cars or applications that create new songs, poems, images and even entire movie scripts! The interesting thing about this is that most of these were built using neural networks. Neural networks have been used for a while, but with the rise of Deep Learning, they came back stronger than ever and now are seen as the most advanced technology for data analysis.

One of the biggest problems that I ve seen in students that start learning about neural networks is the lack of easily understandable content. This is due to the fact that the majority of the materials that are available are very technical and apply a lot of mathematical formulas, which simply makes the learning process incredibly difficult for whomever wishes to take their first steps in this field. With this in mind, the main objective of this course is to present the theoretical and mathematical concepts of neural networks in a simple yet thorough way, so even if you know nothing about neural networks, you ll understand all the processes. We ll cover concepts such as perceptrons, activation functions, multilayer networks, gradient descent and backpropagation algorithms, which form the foundations through which you will understand fully how a neural network is made. We ll also cover the implementations on a step–by–step basis using Python, which is one of the most popular programming languages in the field of Data Science. It s important to highlight that the step–by–step implementations will be done without using Machine Learning–specific Python libraries, because the idea behind this course is for you to understand how to do all the calculations necessary in order to build a neural network from scratch.

Instructor Details

Ol ! Meu nome Jones Granatyr e j trabalho em torno de 10 anos com Intelig ncia Artificial (IA), inclusive fiz o meu mestrado e doutorado nessa rea. Atualmente sou professor, pesquisador e fundador do portal IA Expert, um site com conte do espec fico sobre Intelig ncia Artificial. Desde que iniciei na Udemy criei v rios cursos sobre diversos assuntos de IA, como por exemplo: Deep Learning, Machine Learning, Data Science, Redes Neurais Artificiais, Algoritmos Gen ticos, Detec o e Reconhecimento Facial, Algoritmos de Busca, Minera o de Textos, Buscas em Textos, Minera o de Regras de Associa o, Sistemas Especialistas e Sistemas de Recomenda o. Os cursos s o abordados em diversas linguagens de programa o (Python, R e Java) e com v rias ferramentas/tecnologias (tensorflow, keras, pandas, sklearn, opencv, dlib, weka, nltk, por exemplo). Meu principal objetivo desmistificar a rea de IA e ajudar profissionais de TI a entenderem como essa tecnologia pode ser utilizada na pr tica e que possam visualizar novas oportunidades de neg cios.

Specification: Neural Networks in Python from Scratch: Complete guide

Duration

8.5 hours

Year

2020

Level

Beginner

Certificate

Yes

Quizzes

Yes

4 reviews for Neural Networks in Python from Scratch: Complete guide

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    Sylvain Arbour

    This is the better class on this topic that I had. Understanding how the neural net works will be of great help prior using the existing library. Thanks for this amazing content.

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    Dalton Luiz Vargas

    best material ever!!!!!!!!!!!

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  3. Avatar

    Michael Presidente

    This offers a clear introduction to a complex topic. The presentation is well thought out, and topics flow well.

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  4. Avatar

    Sebastiao Do Nascimento Neto

    Sim, est indo tudo ok.

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    Neural Networks in Python from Scratch: Complete guide
    Neural Networks in Python from Scratch: Complete guide

    $199.99

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