Linkedin Learning – Artificial Intelligence Foundations Neural Networks UPDATED January 29 2026 BOOKWARE-LERNSTUF

By Pacman On Feb 13, 2026

Linkedin Learning - Artificial Intelligence Foundations Neural Networks UPDATED January 29 2026 BOOKWARE-LERNSTUF

Linkedin Learning – Artificial Intelligence Foundations Neural Networks UPDATED January 29 2026 BOOKWARE-LERNSTUF | Apps-Tutorials | MKV | 234.15 MiB

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                               Linkedin Learning
              Artificial Intelligence Foundations Neural Networks
                           2026 (UPDATED January 29)
            __.                                                ..            . 
 .. - -  - /- --- _- [   R E L E A S E   D E T A i L S   ]- . ./\ . - __./---' 
  Release Date : 2026-02-13
  Publisher    : Linkedin Learning
  Title        : Artificial Intelligence Foundations Neural Networks
  Year         : 2026 (UPDATED January 29)
  Month        : January
  Category     : Artificial-Intelligence Machine-Learning Neural-Networks
  Language     : English
  Section      : BOOKWARE
  Files        : 05 x 50 MB
               _                                             .                 
 .. - - ___- _/ \____--[   R E L E A S E   N O T E S   ] _-- -\\_ ___--'-__ .. 
 https://www.linkedin.com/learning/artificial-intelligence-foundations-neural-n
                                etworks-22853427
 An artificial neural network uses the human brain as inspiration for creating
    a complex machine learning system. They can classify millions of sounds,
  videos, and images, answer our questions, understand our behaviors, and even
 drive our cars. Neural networks are also the foundation of generative AI. This
     course introduces the fundamental techniques and principles of neural
     networks, common models, and their applications. Instructor Gwendolyn
 Stripling takes you through the different neural network architectures, their
   components, appropriate use cases, and best practices for improving neural
     network model performance. Plus, gain hands-on experience building and
    training a neural network using the Keras Sequential API, an open-source
 library that demystifies the design and training of neural networks. If youre
  looking to achieve a solid understanding of how to build, train, improve and
              use neural networks, join Gwendolyn in this course.
                _       .                                 __.                  
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                         iF YOU HAVE ANYTHiNG TO OFFER                         
                CONTACT US ViA THE SCENE, OR EMAiL ADDRESS BELOW               
              ...       .                                      ___.            
 .. - - ___- _/ \____--' \ [   G R E E T i N G S   ] _-------' \\___-- -  // . 
    GREETiNGS TO ALL THE PAST AND PRESENT SCENE GROUPS AND SCENERS WHO MADE    
       STUF AVAiLABLE FOR THOSE THAT MAY NOT OTHERWISE HAD THE PRiViLEGE       
          _                                                   _             _  
 .. -_- -/_- __--\__ [   C O N T A C T   D E T A i L S   ] --- -___-- -  \ - . 
                         lernstuf [at] proton [dot] me                         
               .          .                    .-.                .            
 .. - - ___- _/ \____---' \\___-- .. - - ___- _/ \___----  -___-/__-- -  -- .  
           ._/       -     '                 -                 '    - .

File List:

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6.9M	001-neural_networks_101_your_path_to_ai_brilliance.mkv
2.2M	002-what_you_should_know.mkv
8.7M	003-neural_networks_the_building_blocks_of_generative_ai.mkv
12M	004-machine_learning_and_neural_networks.mkv
13M	005-neural_network_fundamentals.mkv
12M	006-the_need_for_multilayer_networks.mkv
5.5M	007-layers_input_hidden_and_output.mkv
6.9M	008-transfer_and_activation_functions.mkv
11M	009-how_neural_networks_learn.mkv
20M	010-convolutional_neural_networks_cnn.mkv
7.5M	011-transformer_architecture_the_model_that_redefined_modern_ai.mkv
6.6M	012-why_we_need_more_than_cnns.mkv
9.4M	013-self_attention_in_vision_transformers.mkv
7.8M	014-the_keras_sequential_model.mkv
13M	015-use_case_and_determine_evaluation_metric.mkv
5.7M	016-data_checks_and_data_preparation.mkv
4.4M	017-data_preprocessing.mkv
13M	018-train_the_neural_network_using_keras.mkv
5.1M	019-how_to_use_the_challenge_exercise_files.mkv
1.5M	020-challenge_build_a_neural_network.mkv
16M	021-solution_build_a_neural_network.mkv
8.0M	022-overfitting_and_underfitting_two_common_ann_problems.mkv
7.4M	023-hyperparameters_and_neural_networks.mkv
7.7M	024-how_do_you_improve_model_performance.mkv
15M	025-regularization_techniques_to_improve_overfitting_models.mkv
1.4M	026-challenge_manually_tune_hyperparameters.mkv
8.8M	027-solution_manually_tune_hyperparameters.mkv
3.1M	028-next_steps.mkv
8.0K	Exercises
4.0K	Exercises/source_code_link.txt
652K	LERNSTUF
648K	LERNSTUF/lernstuf_introduction_2025.rar
235M	total

File: 001-neural_networks_101_your_path_to_ai_brilliance.mkv
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Subtitles: eng

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Keywords: Linkedin, Learning, 8211, Artificial, Intelligence, Foundations, Neural, Networks, UPDATED, January, 2026, BOOKWARE, LERNSTUF

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