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)
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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
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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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GREETiNGS TO ALL THE PAST AND PRESENT SCENE GROUPS AND SCENERS WHO MADE
STUF AVAiLABLE FOR THOSE THAT MAY NOT OTHERWISE HAD THE PRiViLEGE
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lernstuf [at] proton [dot] me
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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
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Keywords: Linkedin, Learning, 8211, Artificial, Intelligence, Foundations, Neural, Networks, UPDATED, January, 2026, BOOKWARE, LERNSTUFDownload from Nitroflare
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