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Pluralsight Path. Deep Learning Literacy (2022)
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文件列表
1. Literacy Essentials. Core Concepts Deep Learning (Pratheerth Padman, 2021)/exercise.7z
45.6 MB
4. Literacy Essentials. Core Concepts Recurrent Neural Networks (Abdul Rehman Yousaf, 2022)/4. Building a Recurrent Neural Network Using Tensorflow/2. Demo - Implement a Recurrent Neural Network Using TensorFlow.mp4
35.1 MB
1. Literacy Essentials. Core Concepts Deep Learning (Pratheerth Padman, 2021)/3. The Inner Workings of Deep Learning/09. Demo - Building, Training, and Evaluating a Neural Network.mp4
20.0 MB
3. Literacy Essentials. Core Concepts Convolutional Neural Network (Alex Schultz, 2021)/3. Exploring Convolutional Neural Network Architecture/5. Convolutional Layers.mp4
18.5 MB
4. Literacy Essentials. Core Concepts Recurrent Neural Networks (Abdul Rehman Yousaf, 2022)/3. Introducing the Recurrent Neural Networks/4. Different Types and Architectures of RNN.mp4
17.5 MB
3. Literacy Essentials. Core Concepts Convolutional Neural Network (Alex Schultz, 2021)/4. Next Steps/3. Deep Learning Tools and Frameworks.mp4
16.5 MB
1. Literacy Essentials. Core Concepts Deep Learning (Pratheerth Padman, 2021)/3. The Inner Workings of Deep Learning/07. Demo - Preparing the Data - Part 1.mp4
15.4 MB
4. Literacy Essentials. Core Concepts Recurrent Neural Networks (Abdul Rehman Yousaf, 2022)/2. Understanding the Basics of Neural Networks/4. Explore Activation Functions in NNs.mp4
15.4 MB
1. Literacy Essentials. Core Concepts Deep Learning (Pratheerth Padman, 2021)/3. The Inner Workings of Deep Learning/06. Demo - Basic Dataset Exploration.mp4
15.0 MB
5. Literacy Essentials. Core Concepts Generative Adversarial Network (Jerry Kurata, 2022)/exercise.7z
14.4 MB
1. Literacy Essentials. Core Concepts Deep Learning (Pratheerth Padman, 2021)/3. The Inner Workings of Deep Learning/08. Demo - Preparing the Data - Part 2.mp4
13.5 MB
3. Literacy Essentials. Core Concepts Convolutional Neural Network (Alex Schultz, 2021)/3. Exploring Convolutional Neural Network Architecture/2. Artificial Neural Networks.mp4
13.4 MB
7. Literacy Essentials. Core Concepts Data Normalization (Ifedayo Bamikole, 2022)/4. Case Study on Appropriate Normalization Technique/3. Demo - Create A Deep Learning Model With Normalization.mp4
12.4 MB
1. Literacy Essentials. Core Concepts Deep Learning (Pratheerth Padman, 2021)/2. Introduction to Deep Learning/3. Applications of Deep Learning in the Industry.mp4
12.0 MB
3. Literacy Essentials. Core Concepts Convolutional Neural Network (Alex Schultz, 2021)/2. Introduction/3. How Computers See Images.mp4
12.0 MB
2. Literacy Essentials. Core Concepts Neural Network (Abdul Rehman Yousaf, 2021)/3. Understanding Neural Network’s Structure and Operations/5. Understand the Back-propagation.mp4
11.9 MB
2. Literacy Essentials. Core Concepts Neural Network (Abdul Rehman Yousaf, 2021)/3. Understanding Neural Network’s Structure and Operations/3. Introducing Activation Functions.mp4
11.6 MB
2. Literacy Essentials. Core Concepts Neural Network (Abdul Rehman Yousaf, 2021)/2. Introducing Artificial Neural Networks/2. Inspiration from Biological Neurons.mp4
10.8 MB
3. Literacy Essentials. Core Concepts Convolutional Neural Network (Alex Schultz, 2021)/3. Exploring Convolutional Neural Network Architecture/3. Model Training.mp4
10.7 MB
1. Literacy Essentials. Core Concepts Deep Learning (Pratheerth Padman, 2021)/3. The Inner Workings of Deep Learning/04. The Design and Working of a Neural Network.mp4
10.6 MB
2. Literacy Essentials. Core Concepts Neural Network (Abdul Rehman Yousaf, 2021)/4. Understanding Vectorized Neural Networks/3. Vectorization in the Context of Deep Learning.mp4
9.5 MB
7. Literacy Essentials. Core Concepts Data Normalization (Ifedayo Bamikole, 2022)/exercise.7z
9.5 MB
6. Literacy Essentials. Core Concepts Recommender Systems (Biswanath Halder, 2022)/4. Build a Product Recommendation System for Globomantics Using Python/2. Data Exploration.mp4
9.4 MB
2. Literacy Essentials. Core Concepts Neural Network (Abdul Rehman Yousaf, 2021)/3. Understanding Neural Network’s Structure and Operations/2. Concepts of Bias and Weights.mp4
9.2 MB
4. Literacy Essentials. Core Concepts Recurrent Neural Networks (Abdul Rehman Yousaf, 2022)/6. Understanding the Best Practices for Building RNNs/2. Best Practices for Improving the RNN Model Performance.mp4
9.2 MB
6. Literacy Essentials. Core Concepts Recommender Systems (Biswanath Halder, 2022)/3. Collaborative-filtering Based Recommendation Systems/3. How to Quantify Similarity.mp4
9.1 MB
2. Literacy Essentials. Core Concepts Neural Network (Abdul Rehman Yousaf, 2021)/3. Understanding Neural Network’s Structure and Operations/4. Exploring Feed-forwarding Propagation.mp4
9.1 MB
4. Literacy Essentials. Core Concepts Recurrent Neural Networks (Abdul Rehman Yousaf, 2022)/2. Understanding the Basics of Neural Networks/3. Exploring Important Concepts of NNs.mp4
8.6 MB
5. Literacy Essentials. Core Concepts Generative Adversarial Network (Jerry Kurata, 2022)/2. GAN Basics/2. Neural Network Basics.mp4
8.5 MB
6. Literacy Essentials. Core Concepts Recommender Systems (Biswanath Halder, 2022)/4. Build a Product Recommendation System for Globomantics Using Python/6. Generate Recommendations Using User Based Collab.mp4
8.4 MB
4. Literacy Essentials. Core Concepts Recurrent Neural Networks (Abdul Rehman Yousaf, 2022)/3. Introducing the Recurrent Neural Networks/2. What Is a Recurrent Neural Network and Why.mp4
8.2 MB
5. Literacy Essentials. Core Concepts Generative Adversarial Network (Jerry Kurata, 2022)/4. Using GANs to Solve Problems/3. Use GANs to Generate Training Data.mp4
8.0 MB
3. Literacy Essentials. Core Concepts Convolutional Neural Network (Alex Schultz, 2021)/4. Next Steps/2. Popular Convolutional Neural Networks.mp4
7.9 MB
5. Literacy Essentials. Core Concepts Generative Adversarial Network (Jerry Kurata, 2022)/3. How GANs Work/3. GAN Training.mp4
7.8 MB
6. Literacy Essentials. Core Concepts Recommender Systems (Biswanath Halder, 2022)/3. Collaborative-filtering Based Recommendation Systems/4. Collaborative Filtering in the Neighborhood.mp4
7.6 MB
1. Literacy Essentials. Core Concepts Deep Learning (Pratheerth Padman, 2021)/3. The Inner Workings of Deep Learning/03. Activation Functions.mp4
7.5 MB
7. Literacy Essentials. Core Concepts Data Normalization (Ifedayo Bamikole, 2022)/3. Understand Types of Normalization/2. Batch Normalization.mp4
7.3 MB
7. Literacy Essentials. Core Concepts Data Normalization (Ifedayo Bamikole, 2022)/3. Understand Types of Normalization/3. Convolutional Neural Network.mp4
7.3 MB
6. Literacy Essentials. Core Concepts Recommender Systems (Biswanath Halder, 2022)/4. Build a Product Recommendation System for Globomantics Using Python/3. Data Cleaning.mp4
7.0 MB
5. Literacy Essentials. Core Concepts Generative Adversarial Network (Jerry Kurata, 2022)/5. Exploring Example GANs/1. Exploring Example GANs.mp4
7.0 MB
3. Literacy Essentials. Core Concepts Convolutional Neural Network (Alex Schultz, 2021)/3. Exploring Convolutional Neural Network Architecture/4. Convolution Basics.mp4
6.8 MB
4. Literacy Essentials. Core Concepts Recurrent Neural Networks (Abdul Rehman Yousaf, 2022)/2. Understanding the Basics of Neural Networks/5. Explore Propagations in NNs.mp4
6.8 MB
5. Literacy Essentials. Core Concepts Generative Adversarial Network (Jerry Kurata, 2022)/3. How GANs Work/1. How GANs Work.mp4
6.7 MB
2. Literacy Essentials. Core Concepts Neural Network (Abdul Rehman Yousaf, 2021)/4. Understanding Vectorized Neural Networks/2. What Is Vectorization in General.mp4
6.5 MB
4. Literacy Essentials. Core Concepts Recurrent Neural Networks (Abdul Rehman Yousaf, 2022)/exercise.7z
6.5 MB
1. Literacy Essentials. Core Concepts Deep Learning (Pratheerth Padman, 2021)/2. Introduction to Deep Learning/6. Demo - Setting up Your Environment.mp4
6.3 MB
1. Literacy Essentials. Core Concepts Deep Learning (Pratheerth Padman, 2021)/3. The Inner Workings of Deep Learning/05. Gradient Descent.mp4
6.3 MB
1. Literacy Essentials. Core Concepts Deep Learning (Pratheerth Padman, 2021)/2. Introduction to Deep Learning/2. What Is Deep Learning.mp4
6.3 MB
1. Literacy Essentials. Core Concepts Deep Learning (Pratheerth Padman, 2021)/2. Introduction to Deep Learning/5. Demo - Introduction to the Problem and Dataset.mp4
5.7 MB
6. Literacy Essentials. Core Concepts Recommender Systems (Biswanath Halder, 2022)/3. Collaborative-filtering Based Recommendation Systems/2. Introduction to Collaborative Filtering.mp4
5.6 MB
5. Literacy Essentials. Core Concepts Generative Adversarial Network (Jerry Kurata, 2022)/4. Using GANs to Solve Problems/2. Powerful Patterns with GANs.mp4
5.5 MB
1. Literacy Essentials. Core Concepts Deep Learning (Pratheerth Padman, 2021)/2. Introduction to Deep Learning/1. Course Introduction and Module Overview.mp4
5.5 MB
6. Literacy Essentials. Core Concepts Recommender Systems (Biswanath Halder, 2022)/4. Build a Product Recommendation System for Globomantics Using Python/4. Generate Non-personalized Recommendations.mp4
5.5 MB
3. Literacy Essentials. Core Concepts Convolutional Neural Network (Alex Schultz, 2021)/exercise.zip
5.3 MB
1. Literacy Essentials. Core Concepts Deep Learning (Pratheerth Padman, 2021)/3. The Inner Workings of Deep Learning/02. The Perceptron - From Biological to Artificial Neurons.mp4
5.2 MB
2. Literacy Essentials. Core Concepts Neural Network (Abdul Rehman Yousaf, 2021)/2. Introducing Artificial Neural Networks/1. Module Overview.mp4
5.1 MB
7. Literacy Essentials. Core Concepts Data Normalization (Ifedayo Bamikole, 2022)/2. Evaluate Normalization Techniques for Deep Learning/7. Normalization Demo.mp4
4.9 MB
6. Literacy Essentials. Core Concepts Recommender Systems (Biswanath Halder, 2022)/5. Other Approaches to Generate Recommendations/2. Content-based Recommendation Systems.mp4
4.9 MB
3. Literacy Essentials. Core Concepts Convolutional Neural Network (Alex Schultz, 2021)/3. Exploring Convolutional Neural Network Architecture/8. Fine-tuning.mp4
4.8 MB
3. Literacy Essentials. Core Concepts Convolutional Neural Network (Alex Schultz, 2021)/2. Introduction/4. Solving Computer Vision Problems before Convolutional Neural Networks.mp4
4.7 MB
4. Literacy Essentials. Core Concepts Recurrent Neural Networks (Abdul Rehman Yousaf, 2022)/3. Introducing the Recurrent Neural Networks/3. How RNN Is Different from CNN.mp4
4.7 MB
1. Literacy Essentials. Core Concepts Deep Learning (Pratheerth Padman, 2021)/2. Introduction to Deep Learning/4. Deep Learning Frameworks.mp4
4.7 MB
4. Literacy Essentials. Core Concepts Recurrent Neural Networks (Abdul Rehman Yousaf, 2022)/3. Introducing the Recurrent Neural Networks/5. Understand BackPropagation through Time in RNN.mp4
4.6 MB
7. Literacy Essentials. Core Concepts Data Normalization (Ifedayo Bamikole, 2022)/2. Evaluate Normalization Techniques for Deep Learning/4. What Are Neural Networks.mp4
4.5 MB
7. Literacy Essentials. Core Concepts Data Normalization (Ifedayo Bamikole, 2022)/3. Understand Types of Normalization/5. Instance Normalization.mp4
4.3 MB
7. Literacy Essentials. Core Concepts Data Normalization (Ifedayo Bamikole, 2022)/2. Evaluate Normalization Techniques for Deep Learning/3. Deep Learning Use Cases.mp4
4.3 MB
1. Literacy Essentials. Core Concepts Deep Learning (Pratheerth Padman, 2021)/4. Types of Neural Networks and Their Uses/5. Generative Adversarial Networks.mp4
4.2 MB
6. Literacy Essentials. Core Concepts Recommender Systems (Biswanath Halder, 2022)/exercise.7z
4.2 MB
4. Literacy Essentials. Core Concepts Recurrent Neural Networks (Abdul Rehman Yousaf, 2022)/5. Exploring the Merits of RNNs - Case Study/3. Support of Sequences in Recurrent Neural Networks.mp4
4.2 MB
3. Literacy Essentials. Core Concepts Convolutional Neural Network (Alex Schultz, 2021)/2. Introduction/5. Common Convolutional Neural Network Use Cases.mp4
4.0 MB
6. Literacy Essentials. Core Concepts Recommender Systems (Biswanath Halder, 2022)/2. Introduction to Recommendation Systems/3. Definition of Recommender System.mp4
4.0 MB
6. Literacy Essentials. Core Concepts Recommender Systems (Biswanath Halder, 2022)/3. Collaborative-filtering Based Recommendation Systems/5. Pros and Cons of Collaborative Filtering.mp4
4.0 MB
5. Literacy Essentials. Core Concepts Generative Adversarial Network (Jerry Kurata, 2022)/3. How GANs Work/2. GAN Architecture.mp4
3.9 MB
1. Literacy Essentials. Core Concepts Deep Learning (Pratheerth Padman, 2021)/4. Types of Neural Networks and Their Uses/6. Autoencoders.mp4
3.9 MB
6. Literacy Essentials. Core Concepts Recommender Systems (Biswanath Halder, 2022)/5. Other Approaches to Generate Recommendations/4. Model-based Recommendation Systems.mp4
3.8 MB
6. Literacy Essentials. Core Concepts Recommender Systems (Biswanath Halder, 2022)/2. Introduction to Recommendation Systems/6. Evaluation Criteria of Recommender Systems.mp4
3.7 MB
7. Literacy Essentials. Core Concepts Data Normalization (Ifedayo Bamikole, 2022)/3. Understand Types of Normalization/6. Group Normalization.mp4
3.7 MB
6. Literacy Essentials. Core Concepts Recommender Systems (Biswanath Halder, 2022)/5. Other Approaches to Generate Recommendations/3. Context-aware Recommendation Systems.mp4
3.7 MB
1. Literacy Essentials. Core Concepts Deep Learning (Pratheerth Padman, 2021)/4. Types of Neural Networks and Their Uses/4. Long Short-term Memory Networks.mp4
3.6 MB
1. Literacy Essentials. Core Concepts Deep Learning (Pratheerth Padman, 2021)/1. Course Overview/1. Course Overview.mp4
3.6 MB
1. Literacy Essentials. Core Concepts Deep Learning (Pratheerth Padman, 2021)/4. Types of Neural Networks and Their Uses/3. Recurrent Neural Networks.mp4
3.5 MB
4. Literacy Essentials. Core Concepts Recurrent Neural Networks (Abdul Rehman Yousaf, 2022)/1. Course Overview/1. Course Overview.mp4
3.5 MB
6. Literacy Essentials. Core Concepts Recommender Systems (Biswanath Halder, 2022)/5. Other Approaches to Generate Recommendations/5. Hybrid Recommendation Systems.mp4
3.3 MB
2. Literacy Essentials. Core Concepts Neural Network (Abdul Rehman Yousaf, 2021)/3. Understanding Neural Network’s Structure and Operations/6. Summary.mp4
3.3 MB
3. Literacy Essentials. Core Concepts Convolutional Neural Network (Alex Schultz, 2021)/3. Exploring Convolutional Neural Network Architecture/7. CNN Structure.mp4
3.3 MB
5. Literacy Essentials. Core Concepts Generative Adversarial Network (Jerry Kurata, 2022)/2. GAN Basics/1. GAN Basics.mp4
3.2 MB
3. Literacy Essentials. Core Concepts Convolutional Neural Network (Alex Schultz, 2021)/2. Introduction/1. Introduction.mp4
3.2 MB
7. Literacy Essentials. Core Concepts Data Normalization (Ifedayo Bamikole, 2022)/1. Course Overview/1. Course Overview.mp4
3.2 MB
1. Literacy Essentials. Core Concepts Deep Learning (Pratheerth Padman, 2021)/4. Types of Neural Networks and Their Uses/2. Convolutional Neural Networks.mp4
3.1 MB
4. Literacy Essentials. Core Concepts Recurrent Neural Networks (Abdul Rehman Yousaf, 2022)/5. Exploring the Merits of RNNs - Case Study/2. Introducing the Case Study.mp4
3.1 MB
6. Literacy Essentials. Core Concepts Recommender Systems (Biswanath Halder, 2022)/4. Build a Product Recommendation System for Globomantics Using Python/7. Generate Recommendations Using Item Based Collab.mp4
3.1 MB
2. Literacy Essentials. Core Concepts Neural Network (Abdul Rehman Yousaf, 2021)/2. Introducing Artificial Neural Networks/4. Introduction to Perceptron.mp4
3.0 MB
7. Literacy Essentials. Core Concepts Data Normalization (Ifedayo Bamikole, 2022)/3. Understand Types of Normalization/4. Layer Normalization.mp4
3.0 MB
2. Literacy Essentials. Core Concepts Neural Network (Abdul Rehman Yousaf, 2021)/2. Introducing Artificial Neural Networks/3. Brief History of Artificial Neural Networks.mp4
3.0 MB
3. Literacy Essentials. Core Concepts Convolutional Neural Network (Alex Schultz, 2021)/1. Course Overview/1. Course Overview.mp4
2.9 MB
4. Literacy Essentials. Core Concepts Recurrent Neural Networks (Abdul Rehman Yousaf, 2022)/2. Understanding the Basics of Neural Networks/2. Introduction to Neural Networks.mp4
2.9 MB
3. Literacy Essentials. Core Concepts Convolutional Neural Network (Alex Schultz, 2021)/2. Introduction/2. Course Outline.mp4
2.9 MB
5. Literacy Essentials. Core Concepts Generative Adversarial Network (Jerry Kurata, 2022)/3. How GANs Work/4. GAN Issues.mp4
2.9 MB
6. Literacy Essentials. Core Concepts Recommender Systems (Biswanath Halder, 2022)/1. Course Overview/1. Course Overview.mp4
2.8 MB
5. Literacy Essentials. Core Concepts Generative Adversarial Network (Jerry Kurata, 2022)/5. Exploring Example GANs/2. Course Summary.mp4
2.7 MB
3. Literacy Essentials. Core Concepts Convolutional Neural Network (Alex Schultz, 2021)/3. Exploring Convolutional Neural Network Architecture/6. Pooling Layer.mp4
2.7 MB
7. Literacy Essentials. Core Concepts Data Normalization (Ifedayo Bamikole, 2022)/2. Evaluate Normalization Techniques for Deep Learning/2. What Is Deep Learning.mp4
2.7 MB
6. Literacy Essentials. Core Concepts Recommender Systems (Biswanath Halder, 2022)/2. Introduction to Recommendation Systems/5. Types of Recommender Systems.mp4
2.7 MB
4. Literacy Essentials. Core Concepts Recurrent Neural Networks (Abdul Rehman Yousaf, 2022)/5. Exploring the Merits of RNNs - Case Study/4. Taking Context into Account for Better Understanding.mp4
2.7 MB
5. Literacy Essentials. Core Concepts Generative Adversarial Network (Jerry Kurata, 2022)/1. Course Overview/1. Course Overview.mp4
2.7 MB
3. Literacy Essentials. Core Concepts Convolutional Neural Network (Alex Schultz, 2021)/3. Exploring Convolutional Neural Network Architecture/9. Summary.mp4
2.6 MB
7. Literacy Essentials. Core Concepts Data Normalization (Ifedayo Bamikole, 2022)/2. Evaluate Normalization Techniques for Deep Learning/6. What Is Data Normalization.mp4
2.6 MB
2. Literacy Essentials. Core Concepts Neural Network (Abdul Rehman Yousaf, 2021)/1. Course Overview/1. Course Overview.mp4
2.5 MB
2. Literacy Essentials. Core Concepts Neural Network (Abdul Rehman Yousaf, 2021)/exercise.7z
2.5 MB
6. Literacy Essentials. Core Concepts Recommender Systems (Biswanath Halder, 2022)/4. Build a Product Recommendation System for Globomantics Using Python/5. Create User-item Interaction Matrix.mp4
2.5 MB
6. Literacy Essentials. Core Concepts Recommender Systems (Biswanath Halder, 2022)/5. Other Approaches to Generate Recommendations/6. Summary.mp4
2.4 MB
3. Literacy Essentials. Core Concepts Convolutional Neural Network (Alex Schultz, 2021)/3. Exploring Convolutional Neural Network Architecture/1. Introduction.mp4
2.2 MB
4. Literacy Essentials. Core Concepts Recurrent Neural Networks (Abdul Rehman Yousaf, 2022)/6. Understanding the Best Practices for Building RNNs/3. Considerations Regarding the Model Parameters.mp4
2.2 MB
4. Literacy Essentials. Core Concepts Recurrent Neural Networks (Abdul Rehman Yousaf, 2022)/2. Understanding the Basics of Neural Networks/1. Overview.mp4
2.2 MB
3. Literacy Essentials. Core Concepts Convolutional Neural Network (Alex Schultz, 2021)/2. Introduction/6. Summary.mp4
2.1 MB
7. Literacy Essentials. Core Concepts Data Normalization (Ifedayo Bamikole, 2022)/2. Evaluate Normalization Techniques for Deep Learning/5. Challenges in Designing a Deep Learning Solution.mp4
2.0 MB
6. Literacy Essentials. Core Concepts Recommender Systems (Biswanath Halder, 2022)/2. Introduction to Recommendation Systems/2. Examples of Recommender Systems.mp4
2.0 MB
1. Literacy Essentials. Core Concepts Deep Learning (Pratheerth Padman, 2021)/4. Types of Neural Networks and Their Uses/1. Module Overview.mp4
2.0 MB
1. Literacy Essentials. Core Concepts Deep Learning (Pratheerth Padman, 2021)/4. Types of Neural Networks and Their Uses/7. Module Summary and Course Feedback.mp4
1.9 MB
5. Literacy Essentials. Core Concepts Generative Adversarial Network (Jerry Kurata, 2022)/2. GAN Basics/3. Overview.mp4
1.9 MB
7. Literacy Essentials. Core Concepts Data Normalization (Ifedayo Bamikole, 2022)/4. Case Study on Appropriate Normalization Technique/4. Conclusion.mp4
1.8 MB
2. Literacy Essentials. Core Concepts Neural Network (Abdul Rehman Yousaf, 2021)/3. Understanding Neural Network’s Structure and Operations/1. Overview.mp4
1.7 MB
6. Literacy Essentials. Core Concepts Recommender Systems (Biswanath Halder, 2022)/2. Introduction to Recommendation Systems/4. Benefits of Recommender Systems.mp4
1.7 MB
6. Literacy Essentials. Core Concepts Recommender Systems (Biswanath Halder, 2022)/4. Build a Product Recommendation System for Globomantics Using Python/1. Overview.mp4
1.6 MB
4. Literacy Essentials. Core Concepts Recurrent Neural Networks (Abdul Rehman Yousaf, 2022)/3. Introducing the Recurrent Neural Networks/1. Overview.mp4
1.6 MB
1. Literacy Essentials. Core Concepts Deep Learning (Pratheerth Padman, 2021)/2. Introduction to Deep Learning/7. Module Summary.mp4
1.5 MB
4. Literacy Essentials. Core Concepts Recurrent Neural Networks (Abdul Rehman Yousaf, 2022)/3. Introducing the Recurrent Neural Networks/6. Summary.mp4
1.4 MB
1. Literacy Essentials. Core Concepts Deep Learning (Pratheerth Padman, 2021)/3. The Inner Workings of Deep Learning/01. Module Overview.mp4
1.4 MB
6. Literacy Essentials. Core Concepts Recommender Systems (Biswanath Halder, 2022)/5. Other Approaches to Generate Recommendations/1. Overview.mp4
1.4 MB
6. Literacy Essentials. Core Concepts Recommender Systems (Biswanath Halder, 2022)/3. Collaborative-filtering Based Recommendation Systems/6. Summary.mp4
1.3 MB
1. Literacy Essentials. Core Concepts Deep Learning (Pratheerth Padman, 2021)/3. The Inner Workings of Deep Learning/10. Module Summary.mp4
1.3 MB
6. Literacy Essentials. Core Concepts Recommender Systems (Biswanath Halder, 2022)/4. Build a Product Recommendation System for Globomantics Using Python/8. Summary.mp4
1.3 MB
2. Literacy Essentials. Core Concepts Neural Network (Abdul Rehman Yousaf, 2021)/2. Introducing Artificial Neural Networks/5. Summary.mp4
1.3 MB
4. Literacy Essentials. Core Concepts Recurrent Neural Networks (Abdul Rehman Yousaf, 2022)/5. Exploring the Merits of RNNs - Case Study/5. Summary.mp4
1.2 MB
6. Literacy Essentials. Core Concepts Recommender Systems (Biswanath Halder, 2022)/2. Introduction to Recommendation Systems/7. Summary.mp4
1.2 MB
6. Literacy Essentials. Core Concepts Recommender Systems (Biswanath Halder, 2022)/3. Collaborative-filtering Based Recommendation Systems/1. Overview.mp4
1.2 MB
7. Literacy Essentials. Core Concepts Data Normalization (Ifedayo Bamikole, 2022)/3. Understand Types of Normalization/1. Introduction.mp4
1.2 MB
2. Literacy Essentials. Core Concepts Neural Network (Abdul Rehman Yousaf, 2021)/4. Understanding Vectorized Neural Networks/4. Summary.mp4
1.2 MB
6. Literacy Essentials. Core Concepts Recommender Systems (Biswanath Halder, 2022)/2. Introduction to Recommendation Systems/1. Overview.mp4
1.2 MB
4. Literacy Essentials. Core Concepts Recurrent Neural Networks (Abdul Rehman Yousaf, 2022)/2. Understanding the Basics of Neural Networks/6. Summary.mp4
1.1 MB
4. Literacy Essentials. Core Concepts Recurrent Neural Networks (Abdul Rehman Yousaf, 2022)/6. Understanding the Best Practices for Building RNNs/4. Summary.mp4
1.1 MB
3. Literacy Essentials. Core Concepts Convolutional Neural Network (Alex Schultz, 2021)/4. Next Steps/4. Summary.mp4
1.0 MB
7. Literacy Essentials. Core Concepts Data Normalization (Ifedayo Bamikole, 2022)/4. Case Study on Appropriate Normalization Technique/1. Introduction.mp4
1.0 MB
5. Literacy Essentials. Core Concepts Generative Adversarial Network (Jerry Kurata, 2022)/4. Using GANs to Solve Problems/1. Using GANs to Solve Problems.mp4
999.9 kB
7. Literacy Essentials. Core Concepts Data Normalization (Ifedayo Bamikole, 2022)/2. Evaluate Normalization Techniques for Deep Learning/8. Conclusion.mp4
956.3 kB
7. Literacy Essentials. Core Concepts Data Normalization (Ifedayo Bamikole, 2022)/3. Understand Types of Normalization/7. Conclusion.mp4
943.6 kB
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