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Neural Network Courses

212 Courses

California Institute of Technology Udemy

Python and Computer Neurals

Python and Computer Neurals: Embedding Process into Cloud | Udemy Python and Computer Neurals: Embedding Process into Cloud | Udemy Master the integration of Python and neural networks in cloud environments. Join this comprehensive course offered by Udemy. https://www.udemy.com/course/python-and-computer-neurals/ website https://www.udemy.com/st.
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provider Udemy
pricing Free Online Course
duration 1-2 hours
sessions On-Demand
California Institute of Technology

Data Science: Modern Deep Learning in Python

Data Science: Modern Deep Learning in Python Master the latest deep learning techniques using cutting-edge libraries such as Tensorflow, Theano, Keras, PyTorch, CNTK, and MXNet. Accelerate your training processes by leveraging GPU power on AWS. Categories: Python Courses Deep Learning Courses Neural Networks Courses TensorFlow Courses Ke.
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California Institute of Technology Udemy

Machine Learning with Python from Scratch

Machine Learning with Python from Scratch | Udemy Learn to master Machine Learning Algorithms from the ground up, including essential skills in Neural Networks using Numpy, Pandas, Matplotlib, Seaborn, and Scikit-Learn. This course is offered by Udemy and provides the knowledge you need to excel in the field. Join now to start.
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provider Udemy
pricing Paid Course
duration 13 hours
sessions On-Demand
California Institute of Technology

Curso Completo de Deep Learning

Este proyecto es un curso práctico y efectivo para aprender Deep Learning con ejercicios aplicados. Aprenderás desde cero los fundamentos del Deep Learning. Después irás aprendiendo a desarrollar redes neuronales con Python y Keras a través de ejercicios prácticos. Gracias a este curso aprenderás a programar tus propios modelos de Deep Learni.
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California Institute of Technology Coursera

Fundamentals of CNNs and RNNs

Fundamentals of CNNs and RNNs This course covers fundamental concepts of convolutional neural networks (CNNs) and recurrent neural networks (RNNs), which are widely used in computer vision and natural language processing areas. In the CNN part, you will learn the concepts of CNNs, the two major operators (convolution and pooling), and t.
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provider Coursera
pricing Free Online Course (Audit)
duration 5-6 hours
sessions On-Demand
California Institute of Technology Udacity

Introduction to Neural Networks with TensorFlow

Introduction to Neural Networks with TensorFlow | Udacity Master the basics of neural networks using Python and TensorFlow, and apply your knowledge to build a functional image classifier. This course guides you through training a deep learning model on an image dataset and deploying it to classify new images. University: Udacity Categories: Pyt.
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provider Udacity
pricing Paid Course
duration 3 weeks, 5-6 hours a week
sessions On-Demand
California Institute of Technology Udacity

Introduction to Neural Networks with PyTorch

Learn the fundamentals of neural networks with Python and PyTorch, and then use your new skills to create your own image classifier—an application that will first train a deep learning model on a dataset of images and then use the trained model to classify new images. University: Udacity Provider: Udacity Python Courses Computer Vision.
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provider Udacity
pricing Paid Course
duration 4 weeks, 4-5 hours a week
sessions On-Demand
California Institute of Technology

Processamento Neural de Linguagem Natural em Português I

Bem-vindo ao curso de Processamento Neural de Linguagem Natural em Português I, oferecido pelo Departamento de Ciência da Computação do Instituto de Matemática e Estatística da USP, com apoio do C4AI – USP-IBM-Fapesp Center for Artificial Intelligence e Google. Neste curso, você irá aprender como o Machine Learning (aprendizado de máquina) pod.
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California Institute of Technology

Introduction to artificial intelligence for trainers

Module 1: Fundamental Concepts in Artificial Intelligence (AI) and Machine Learning By the end of this module, you'll be able to: Distinguish between supervised, unsupervised, and reinforcement learning, and identify the type of machine learning most suitable for certain scenarios. Assess t.
California Institute of Technology Pluralsight

Neural Networks for Data Professionals: A Comprehensive Introduction

Neural Networks for Data Professionals: A Comprehensive Introduction In the ever-evolving world of data science and artificial intelligence, mastering neural networks is a crucial skill for data professionals. Inspired by the human brain, these complex systems have revolutionized big data approaches, leading to breakthroughs in fields like image r.
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provider Pluralsight
pricing Free Trial Available
duration 39 minutes
sessions On-Demand

Who is a neural network developer?

A neural network developer designs and programs hardware and software systems that operate on the principle of the human brain (neural networks).

Introduction to Neural Network Courses

A neural network developer is a programmer who creates software for mathematical models that work on the principle of the nervous system of a living organism.

A neural network is a computer programme built on the model of the structure and functioning of the human brain. Its constituent artificial neurons are tiny mathematical functions that perform computational actions - receive information, process and compare it, and pass it on. A neural network is not programmed in the usual sense of the word once and for all - it learns by loading and constantly processing huge data sets. For this purpose, special algorithms are used, which are created by the neural network developer. As a result, an artificial neural network can compare data, find patterns and on their basis make its own conclusions, classify information, predict events, recognise images, speech.

The task of a neural network developer is to create a programme capable of learning and teach it to learn. Examples of the results of neural network developers' work after neural network courseі include chatbots, voice assistants, text generators, mobile applications capable of recognising faces in photos or emotions in videos, navigation systems for unmanned cars, systems for detecting faults during maintenance, etc.

Career Paths and Learning Paths

Since, by and large, the creation of neural networks is one of the narrow specialisations of a Data Science specialist, the core knowledge of a neural network developer is Big Data science (data modelling, quality assessment of algorithms and prediction models). Also included in the knowledge pool are:

A lot of lectures on neural networks can be found on YouTube. Often after the video, machine learning enthusiasts do a detailed breakdown of the material. There are tutorial applications on the Internet (like artificial neural network course) with ready-made architectures that clearly demonstrate what is happening inside a neural network and give instructions on how to build it into a specific project.

Course Benefits and Features

Let's take a look at the main pluses of the neural networks and deep learning courseі:

These are just some of our advantages.

Enrollment Process

You can email us and sign up for our online lessons now. You can take a deep neural network course on one of the educational platforms. These courses are designed for people with no particular background, so they are suitable for most people. Online training is usually focused on practice - this allows you to quickly build up your portfolio and get a job immediately after training!