download скачать Free download скачать : Pluralsight - Deep Learning Literacy
mp4 | Video: h264,1280X720 | Audio: AAC, 44.1 KHz
Genre:eLearning | Language: English | Size:687.36 MB

Files Included :

1  Course Overview.mp4 (3.39 MB)
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1  Course Introduction and Module Overview.mp4 (5.27 MB)
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2  What Is Deep Learning.mp4 (5.99 MB)
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3  Applications of Deep Learning in the Industry.mp4 (11.43 MB)
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4  Deep Learning Frameworks.mp4 (4.48 MB)
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5  Demo - Introduction to the Problem and Dataset.mp4 (5.44 MB)
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6  Demo - Setting up Your Environment.mp4 (6.05 MB)
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7  Module Summary.mp4 (1.42 MB)
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01  Module Overview.mp4 (1.34 MB)
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02  The Perceptron - From Biological to Artificial Neurons.mp4 (4.91 MB)
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03  Activation Functions.mp4 (7.14 MB)
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04  The Design and Working of a Neural Network.mp4 (10.15 MB)
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05  Gradient Descent.mp4 (5.99 MB)
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06  Demo - Basic Dataset Exploration.mp4 (14.34 MB)
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07  Demo - Preparing the Data - Part 1.mp4 (14.73 MB)
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08  Demo - Preparing the Data - Part 2.mp4 (12.92 MB)
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09  Demo - Building, Training, and Evaluating a Neural Network.mp4 (19.11 MB)
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10  Module Summary.mp4 (1.25 MB)
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1  Module Overview.mp4 (1.87 MB)
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2  Convolutional Neural Networks.mp4 (2.99 MB)
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3  Recurrent Neural Networks.mp4 (3.35 MB)
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4  Long Short-term Memory Networks.mp4 (3.42 MB)
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5  Generative Adversarial Networks.mp4 (4.01 MB)
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6  Autoencoders.mp4 (3.72 MB)
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7  Module Summary and Course Feedback.mp4 (1.82 MB)
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1  Course Overview.mp4 (2.43 MB)
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1  Module Overview.mp4 (4.86 MB)
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2  Inspiration from Biological Neurons.mp4 (10.31 MB)
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3  Brief History of Artificial Neural Networks.mp4 (2.81 MB)
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4  Introduction to Perceptron.mp4 (2.88 MB)
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5  Summary.mp4 (1.22 MB)
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1  Overview.mp4 (1.6 MB)
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2  Concepts of Bias and Weights.mp4 (8.81 MB)
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3  Introducing Activation Functions.mp4 (11.05 MB)
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4  Exploring Feed-forwarding Propagation.mp4 (8.68 MB)
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5  Understand the Back-propagation.mp4 (11.3 MB)
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6  Summary.mp4 (3.14 MB)
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1  Overview.mp4 (717.58 KB)
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2  What Is Vectorization in General.mp4 (6.24 MB)
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3  Vectorization in the Context of Deep Learning.mp4 (9.08 MB)
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4  Summary.mp4 (1.14 MB)
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1  Course Overview.mp4 (2.81 MB)
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1  Introduction.mp4 (3.04 MB)
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2  Course Outline.mp4 (2.79 MB)
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3  How Computers See Images.mp4 (11.42 MB)
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4  Solving Computer Vision Problems before Convolutional Neural Networks.mp4 (4.52 MB)
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5  Common Convolutional Neural Network Use Cases.mp4 (3.86 MB)
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6  Summary.mp4 (2.03 MB)
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1  Introduction.mp4 (2.14 MB)
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2  Artificial Neural Networks.mp4 (12.74 MB)
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3  Model Training.mp4 (10.2 MB)
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4  Convolution Basics.mp4 (6.47 MB)
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5  Convolutional Layers.mp4 (17.68 MB)
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6  Pooling Layer.mp4 (2.55 MB)
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7  CNN Structure.mp4 (3.14 MB)
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8  Fine-tuning.mp4 (4.59 MB)
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9  Summary.mp4 (2.53 MB)
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1  Introduction.mp4 (805.19 KB)
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2  Popular Convolutional Neural Networks.mp4 (7.53 MB)
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3  Deep Learning Tools and Frameworks.mp4 (15.71 MB)
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4  Summary.mp4 (1006.52 KB)
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1  Course Overview.mp4 (3.34 MB)
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1  Overview.mp4 (2.06 MB)
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2  Introduction to Neural Networks.mp4 (2.79 MB)
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3  Exploring Important Concepts of NNs.mp4 (8.22 MB)
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4  Explore Activation Functions in NNs.mp4 (14.64 MB)
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5  Explore Propagations in NNs.mp4 (6.44 MB)
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6  Summary.mp4 (1.05 MB)
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1  Overview.mp4 (1.51 MB)
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2  What Is a Recurrent Neural Network and Why.mp4 (7.83 MB)
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3  How RNN Is Different from CNN.mp4 (4.52 MB)
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4  Different Types and Architectures of RNN.mp4 (16.65 MB)
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5  Understand BackPropagation through Time in RNN.mp4 (4.35 MB)
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6  Summary.mp4 (1.36 MB)
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1  Overview.mp4 (590.17 KB)
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3  Summary.mp4 (483.7 KB)
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1  Overview.mp4 (570.47 KB)
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2  Introducing the Case Study.mp4 (2.96 MB)
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3  Support of Sequences in Recurrent Neural Networks.mp4 (3.99 MB)
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4  Taking Context into Account for Better Understanding.mp4 (2.54 MB)
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5  Summary.mp4 (1.18 MB)
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1  Overview.mp4 (646.37 KB)
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2  Best Practices for Improving the RNN Model Performance.mp4 (8.75 MB)
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3  Considerations Regarding the Model Parameters.mp4 (2.11 MB)
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4  Summary.mp4 (1.01 MB)
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1  Course Overview.mp4 (2.53 MB)
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1  GAN Basics.mp4 (3.06 MB)
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2  Neural Network Basics.mp4 (8.15 MB)
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3  Overview.mp4 (1.78 MB)
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1  How GANs Work.mp4 (6.36 MB)
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2  GAN Architecture.mp4 (3.73 MB)
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3  GAN Training.mp4 (7.46 MB)
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4  GAN Issues.mp4 (2.75 MB)
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1  Using GANs to Solve Problems.mp4 (976.46 KB)
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2  Powerful Patterns with GANs.mp4 (5.28 MB)
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3  Use GANs to Generate Training Data.mp4 (7.64 MB)
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4  Summary.mp4 (619.29 KB)
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1  Exploring Example GANs.mp4 (6.65 MB)
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2  Course Summary.mp4 (2.61 MB)
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1  Course Overview.mp4 (2.7 MB)
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1  Overview.mp4 (1.13 MB)
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2  Examples of Recommender Systems.mp4 (1.9 MB)
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3  Definition of Recommender System.mp4 (3.84 MB)
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4  Benefits of Recommender Systems.mp4 (1.58 MB)
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5  Types of Recommender Systems.mp4 (2.54 MB)
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6  Evaluation Criteria of Recommender Systems.mp4 (3.57 MB)
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7  Summary.mp4 (1.17 MB)
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1  Overview.mp4 (1.15 MB)
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2  Introduction to Collaborative Filtering.mp4 (5.3 MB)
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3  How to Quantify Similarity.mp4 (8.71 MB)
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4  Collaborative Filtering in the Neighborhood.mp4 (7.21 MB)
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5  Pros and Cons of Collaborative Filtering.mp4 (3.82 MB)
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6  Summary.mp4 (1.28 MB)
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1  Overview.mp4 (1.56 MB)
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2  Data Exploration.mp4 (8.98 MB)
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3  Data Cleaning.mp4 (6.71 MB)
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4  Generate Non-personalized Recommendations.mp4 (5.22 MB)
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5  Create User-item Interaction Matrix.mp4 (2.35 MB)
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6  Generate Recommendations Using User Based Collab.mp4 (8.03 MB)
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7  Generate Recommendations Using Item Based Collab.mp4 (2.92 MB)
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8  Summary.mp4 (1.24 MB)
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1  Overview.mp4 (1.3 MB)
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2  Content-based Recommendation Systems.mp4 (4.64 MB)
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3  Context-aware Recommendation Systems.mp4 (3.49 MB)
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4  Model-based Recommendation Systems.mp4 (3.59 MB)
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5  Hybrid Recommendation Systems.mp4 (3.16 MB)
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6  Summary.mp4 (2.25 MB)
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1  Course Overview.mp4 (3.03 MB)
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1  Introduction.mp4 (886.39 KB)
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2  What Is Deep Learning.mp4 (2.54 MB)
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3  Deep Learning Use Cases.mp4 (4.06 MB)
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4  What Are Neural Networks.mp4 (4.34 MB)
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5  Challenges in Designing a Deep Learning Solution.mp4 (1.94 MB)
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6  What Is Data Normalization.mp4 (2.48 MB)
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7  Normalization Demo.mp4 (4.65 MB)
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8  Conclusion.mp4 (933.87 KB)
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1  Introduction.mp4 (1.14 MB)
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2  Batch Normalization.mp4 (6.96 MB)
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3  Convolutional Neural Network.mp4 (6.95 MB)
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4  Layer Normalization.mp4 (2.83 MB)
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5  Instance Normalization.mp4 (4.1 MB)
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6  Group Normalization.mp4 (3.56 MB)
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7  Conclusion.mp4 (921.52 KB)
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1  Introduction.mp4 (982.2 KB)
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2  Quick Overview.mp4 (883.53 KB)
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3  Demo - Create A Deep Learning Model With Normalization.mp4 (11.85 MB)
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4  Conclusion.mp4 (1.73 MB)
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