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Neural Network Courses

179 Courses

California Institute of Technology Udemy

Deep Learning, Neuronale Netze und TensorFlow in Python

Deep Learning, Neuronale Netze und TensorFlow in Python Werde zum Deep Learning Experten: Mathematik & Praxis für Neural Networks mit Keras. [2024 Edition] University: University Provider: Udemy Categories: Artificial Intelligence Courses, Machine Learning Courses, Deep Learning Courses, Neural Networks Courses, TensorFlow Courses, Image Recogni.
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provider Udemy
pricing Paid Course
duration 16 hours 15 minutes
sessions On-Demand
California Institute of Technology Coursera

TensorFlow for AI: Get to Know Tensorflow

TensorFlow for AI: Get to Know TensorFlow This guided project course is part of the "TensorFlow for AI" series, and it builds on the foundational DeepLearning.AI TensorFlow Developer Professional Certificate offered by Coursera. This series helps learners reinforce their skills and develop more TensorFlow-based projects. In this 1-hour project-.
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provider Coursera
pricing Paid Course
duration 1-2 hours
sessions On-Demand
California Institute of Technology

Deep Learning with TensorFlow 2.0

Deep Learning with TensorFlow 2.0 Embark on a transformative journey into the realm of deep learning by leveraging TensorFlow 2.0. This course is designed to equip you with the skills needed to build cutting-edge deep learning algorithms, dive deep into the intricacies of neural networks, and apply this knowledge effectivel.
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California Institute of Technology

Machine Learning for Apps

Machine Learning for Apps Start building more intelligent apps with Machine Learning. Take advantage of this new foundational framework! Artificial Intelligence Courses Machine Learning Courses Neural Networks Courses Core ML Courses
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California Institute of Technology

Data Science - Master Analytics and become Data Scientist

Title: Data Science - Master Analytics and Become a Data Scientist Description: Learn Python, RLang, Neural Networks, ANN, Deep Learning - Tools, software like KNIME, Spark, SciPy, Tableau, and others. University:  Provider:  Categories: Python Courses, Deep Learning Courses, Neural Networks Courses, Data Science Courses, SciPy Courses, K.
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California Institute of Technology

DJ Patil: Ask Me Anything

DJ Patil: Ask Me Anything Join former U.S. chief data scientist DJ Patil as he tackles questions posed by LinkedIn members. Topics range from data security to the future of data science. Categories: Artificial Intelligence Courses Machine Learning Courses Neural Networks Courses Data Science Courses Internet of Things Courses Cyber.
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California Institute of Technology

Machine Learning and AI Foundations: Producing Explainable AI (XAI) and Interpretable Machine Learning Solutions

Machine Learning and AI Foundations: Producing Explainable AI (XAI) and Interpretable Machine Learning Solutions Unlock the potential of AI with our specialized course on Machine Learning and AI Foundations: Producing Explainable AI (XAI) and Interpretable Machine Learning Solutions. Gain expertise in creating AI models that are not only powerfu.
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California Institute of Technology edX

Introduction à l'apprentissage profond

Introduction à l'apprentissage profond Développé par IVADO et le MILA, ce cours d'une durée totale de 5 heures présente les concepts fondamentaux de l'apprentissage profond à travers 5 modules de formation proposés en français. Le contenu sera présenté à l’aide de vidéos pédagogiques présentés par des spécialistes du domaine : Alain Tapp, Yoshua B.
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California Institute of Technology Coursera

Deep Learning

Deep Learning Course | Coursera Join our comprehensive Deep Learning course on Coursera and dive into the fascinating world of advanced machine learning. This course is meticulously designed to cover: Neural Networks Convolutional Neural Networks (CNNs) Recurrent Neural Networks (RNNs) Transformers Generative Models Neur.
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California Institute of Technology Udemy

Python Numpy: Machine Learning & Data Science Course

Unlock the potential of machine learning and data science with our comprehensive course on Python Numpy, available on Udemy. This specialized course is designed to help you master the fundamentals of Numpy Python, an essential tool for manipulating large datasets and performing complex mathematical operations efficiently. Whether you are new to dat.
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provider Udemy
pricing Paid Course
duration 9 hours
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!