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Neural Networks Courses

Neural networks courses can help you learn the basics of architecture design, backpropagation, activation functions, and optimization techniques. You can build skills in training models, tuning hyperparameters, and evaluating performance metrics. Many courses introduce tools like TensorFlow and PyTorch, that support implementing neural networks in practical applications such as image recognition, natural language processing, and predictive analytics.

Popular Neural Networks Courses and Certifications


  • D

    DeepLearning.AI

    Neuronale Netze und Deep Learning

    Skills you'll gain: Deep Learning, Artificial Neural Networks, Artificial Intelligence, NumPy, Computer Vision, Model Optimization, Model Training, Supervised Learning

    Intermediate · Course · 1 - 4 Weeks

    Category: Preview
    Preview
  • S

    Simplilearn

    Introduction Course to Autoencoders, VAEs, and GANs

    Skills you'll gain: Generative Adversarial Networks (GANs), Generative AI, Autoencoders, Generative Model Architectures, Deep Learning, Tensorflow, Unsupervised Learning, Model Training, Dimensionality Reduction

    Beginner · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • E

    EDUCBA

    Deep Learning RNN & LSTM: Stock Price Prediction

    Skills you'll gain: Data Preprocessing, Recurrent Neural Networks (RNNs), Model Training, Data Transformation, Financial Forecasting, Model Evaluation, Statistical Visualization, Time Series Analysis and Forecasting, Exploratory Data Analysis, Deep Learning, Predictive Modeling, Forecasting, Predictive Analytics, Artificial Neural Networks, Network Model, Development Environment, Project Implementation

    4.5 stars, 13 reviews, Mixed, Course, 1 - 4 Weeks

    ★ 4.5 (13) · Mixed · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • S

    Simplilearn

    Attention Mechanisms and Transformer Models Course

    Skills you'll gain: Generative Model Architectures, Generative AI, Large Language Modeling, Vision Transformer (ViT), Artificial Neural Networks, Deep Learning, Recurrent Neural Networks (RNNs), Natural Language Processing

    3.7 stars, 6 reviews, Beginner, Course, 1 - 4 Weeks

    ★ 3.7 (6) · Beginner · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • E

    EDUCBA

    Sentiment Analysis with RNNs in Keras

    Skills you'll gain: Keras (Neural Network Library), Recurrent Neural Networks (RNNs), Model Evaluation, Model Training, Natural Language Processing, Text Mining, Data Preprocessing, Deep Learning, Data Analysis, Analysis, Artificial Neural Networks, Data Processing, Data Analysis Software, Project Implementation, Environment, Design

    Mixed · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • E

    EDUCBA

    Master CNNs with Python: Build, Train & Evaluate Models

    Skills you'll gain: Model Evaluation, Convolutional Neural Networks, Model Training, Image Analysis, Predictive Modeling, Data Preprocessing, Deep Learning, Artificial Neural Networks, Computer Vision, Applied Machine Learning, Python Programming, Development Environment, Project Performance, AI Workflows, Project Implementation

    4.7 stars, 19 reviews, Mixed, Course, 1 - 4 Weeks

    ★ 4.7 (19) · Mixed · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • I

    Intel

    An Introduction to Practical Deep Learning

    Skills you'll gain: Deep Learning, Convolutional Neural Networks, Artificial Neural Networks, Transfer Learning, Model Optimization, Recurrent Neural Networks (RNNs), Fine-tuning, Image Analysis, Generative Adversarial Networks (GANs), Model Training, Computer Vision, Natural Language Processing, Scalability, Reinforcement Learning, Distributed Computing

    4.3 stars, 150 reviews, Intermediate, Course, 1 - 3 Months

    ★ 4.3 (150) · Intermediate · Course · 1 - 3 Months

    Category: Preview
    Preview
  • P

    Packt

    Advanced Machine Learning and Deep Learning

    Skills you'll gain: Autoencoders, Shiny (R Package), Deep Learning, Recurrent Neural Networks (RNNs), Transfer Learning, Convolutional Neural Networks, Fine-tuning, Image Analysis, PyTorch (Machine Learning Library), Artificial Neural Networks, Applied Machine Learning, Tensorflow, Predictive Modeling, Model Optimization, Model Training, Interactive Data Visualization, Time Series Analysis and Forecasting, Model Evaluation

    Advanced · Course · 1 - 3 Months

    Status: Free trial
    Free trial
  • K

    Khalifa University

    Deep Learning for Computer Vision: Techniques & Applications

    Skills you'll gain: Generative AI, Computer Vision, PyTorch (Machine Learning Library), Convolutional Neural Networks, Generative Adversarial Networks (GANs), Generative Model Architectures, Image Analysis, Fine-tuning, Artificial Neural Networks, Model Training, Applied Machine Learning, Model Evaluation, Deep Learning, Transfer Learning, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Model Optimization, Artificial Intelligence

    Intermediate · Course

    Category: New
    New
  • P

    Pearson

    Learning Deep Learning: Unit 1

    Skills you'll gain: Deep Learning, Convolutional Neural Networks, PyTorch (Machine Learning Library), Recurrent Neural Networks (RNNs), Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Generative AI, Model Training, Model Optimization, Machine Learning Algorithms, Network Performance Management, Network Architecture

    Intermediate · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • P

    Packt

    Modern Deep Learning Foundations

    Skills you'll gain: Model Deployment, Deep Learning, Model Optimization, Model Training, Convolutional Neural Networks, PyTorch (Machine Learning Library), Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Computer Vision, Recurrent Neural Networks (RNNs), Model Evaluation, Artificial Neural Networks, Natural Language Processing

    Intermediate · Course · 1 - 3 Months

    Category: New
    New
  • W

    Whizlabs

    NVIDIA: Fundamentals of Deep Learning

    Skills you'll gain: Convolutional Neural Networks, Deep Learning, Generative AI, Transfer Learning, Image Analysis, Computer Vision, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Tensorflow, Applied Machine Learning, Machine Learning Methods, Classification Algorithms, Model Training, Model Optimization, Machine Learning, Data Processing, Linear Algebra

    4.4 stars, 14 reviews, Intermediate, Course, 1 - 4 Weeks

    ★ 4.4 (14) · Intermediate · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
1…789…244

In summary, here are 10 of our most popular neural networks courses

  • Neuronale Netze und Deep Learning: DeepLearning.AI
  • Introduction Course to Autoencoders, VAEs, and GANs: Simplilearn
  • Deep Learning RNN & LSTM: Stock Price Prediction: EDUCBA
  • Attention Mechanisms and Transformer Models Course: Simplilearn
  • Sentiment Analysis with RNNs in Keras: EDUCBA
  • Master CNNs with Python: Build, Train & Evaluate Models: EDUCBA
  • An Introduction to Practical Deep Learning: Intel
  • Advanced Machine Learning and Deep Learning: Packt
  • Deep Learning for Computer Vision: Techniques & Applications: Khalifa University
  • Learning Deep Learning: Unit 1: Pearson

Skills you can learn in Machine Learning

Python Programming (33)
Tensorflow (32)
Deep Learning (30)
Artificial Neural Network (24)
Big Data (18)
Statistical Classification (17)
Reinforcement Learning (13)
Algebra (10)
Bayesian (10)
Linear Algebra (10)
Linear Regression (9)
Numpy (9)

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