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Neural Network Courses

426 Courses

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California Institute of Technology Udacity  Nanodegree

AI Programming with Python

AI Programming with Python Learn Python, NumPy, Pandas, Matplotlib, PyTorch, and Linear Algebra—the foundations for building your own neural network. University: Udacity Provider: Nanodegree Categories: Artificial Intelligence Courses Python Courses Neural Networks Courses Matplotlib Courses NumPy Courses pandas Courses Data Visu.
provider Udacity  Nanodegree
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California Institute of Technology Udacity  Nanodegree

AI Product Manager

AI Product Manager The AI Product Manager Nanodegree Program offers a comprehensive overview of AI and machine learning for business applications. Participants will start with the basics of AI, progressing to how to create a compelling business case for AI integration and measure its success. Key learnings include: Creating a.
provider Udacity  Nanodegree
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California Institute of Technology Taipei Medical University

Applications of AI Technology

Applications of AI Technology | FutureLearn From our workplaces to our homes, AI can now be found in all aspects of our lives. On this four-week course, you’ll delve into the applications of AI technology and how it is affecting the future of four key areas. You’ll start by discovering intelligent systems, where you’ll explore neural networks, g.
provider FutureLearn
sessions On-Demand
California Institute of Technology University of California, San Diego

Fuzzy Logic And Neural Networks

Fuzzy Logic and Neural Networks Course Discover the fascinating world of Fuzzy Logic and Neural Networks with our comprehensive course. Course Highlights: Introduction to fuzzy sets and comparison with crisp sets Detailed discussion on terms and grammar of fuzzy sets with numerical examples Explanation of fuzzy reasoning and fuzzy cluster.
provider Swayam
sessions 21st Jan, 2024
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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.
provider Udemy
sessions On-Demand
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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.
provider Udemy
sessions On-Demand
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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.
provider Coursera
sessions On-Demand
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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.
provider Udacity
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!