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FamilyScrew.19.09.18.Uncle.Learning.How.To.Get.The.Girl.XXX.SD.MP4-KLEENEX.mp4 182.4 MB
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【影视】 [FreeCourseSite.com] Udemy - Complete Machine Learning and Data Science Zero to Mastery

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5. Data Science Environment Setup/8. Windows Environment Setup 2.mp4 238.7 MB
9. Scikit-learn Creating Machine Learning Models/7. Typical scikit-learn Workflow.mp4 199.4 MB
9. Scikit-learn Creating Machine Learning Models/8. Optional Debugging Warnings In Jupyter.mp4 184.7 MB
16. Career Advice + Extra Bits/9. CWD Git + Github.mp4 184.7 MB
9. Scikit-learn Creating Machine Learning Models/39. Tuning Hyperparameters.mp4 184.1 MB
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/32. Training Your Deep Neural Network.mp4 174.7 MB
16. Career Advice + Extra Bits/3. What If I Don't Have Enough Experience.mp4 168.8 MB
12. Milestone Project 2 Supervised Learning (Time Series Data)/7. Feature Engineering.mp4 166.9 MB
9. Scikit-learn Creating Machine Learning Models/45. Putting It All Together.mp4 166.0 MB
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/34. Make And Transform Predictions.mp4 162.5 MB
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/21. Turning Data Into Batches 2.mp4 156.6 MB
12. Milestone Project 2 Supervised Learning (Time Series Data)/8. Turning Data Into Numbers.mp4 153.3 MB
5. Data Science Environment Setup/5. Mac Environment Setup.mp4 151.4 MB
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/37. Visualizing And Evaluate Model Predictions 2.mp4 150.8 MB
9. Scikit-learn Creating Machine Learning Models/15. Choosing The Right Model For Your Data.mp4 150.2 MB
12. Milestone Project 2 Supervised Learning (Time Series Data)/19. Feature Importance.mp4 149.2 MB
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/41. Making Predictions On Test Images.mp4 147.7 MB
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/40. Training Model On Full Dataset.mp4 146.6 MB
12. Milestone Project 2 Supervised Learning (Time Series Data)/17. Preproccessing Our Data.mp4 146.1 MB
11. Milestone Project 1 Supervised Learning (Classification)/9. Finding Patterns 3.mp4 144.6 MB

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【影视】 [FreeTutorials.Us] data-science-deep-learning-in-theano-tensorflow

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01 Outline the MNIST dataset and Linear Logistic Regression Benchmark/001 Outline - what did you learn previously and what will you learn in this course.mp4 4.9 MB
01 Outline the MNIST dataset and Linear Logistic Regression Benchmark/002 Where does this course fit into your deep learning studies.mp4 6.3 MB
01 Outline the MNIST dataset and Linear Logistic Regression Benchmark/003 How to Succeed in this Course.mp4 9.2 MB
01 Outline the MNIST dataset and Linear Logistic Regression Benchmark/004 Where to get the MNIST dataset and Establishing a Linear Benchmark.mp4 11.7 MB
02 Gradient Descent Full vs Batch vs Stochastic/005 What are full batch and stochastic gradient descent.mp4 6.1 MB
02 Gradient Descent Full vs Batch vs Stochastic/006 Full vs Batch vs Stochastic Gradient Descent in code.mp4 14.7 MB
03 Momentum and adaptive learning rates/007 Momentum.mp4 3.3 MB
03 Momentum and adaptive learning rates/008 Code for training a neural network using momentum.mp4 15.3 MB
03 Momentum and adaptive learning rates/009 Variable and adaptive learning rates.mp4 5.3 MB
03 Momentum and adaptive learning rates/010 Constant learning rate vs. RMSProp in Code.mp4 11.5 MB
04 Choosing Hyperparameters/011 Hyperparameter Optimization Cross-validation Grid Search and Random Search.mp4 5.8 MB
04 Choosing Hyperparameters/012 Grid Search in Code.mp4 14.4 MB
04 Choosing Hyperparameters/013 Random Search in Code.mp4 8.3 MB
05 Theano/014 Theano Basics Variables Functions Expressions Optimization.mp4 20.3 MB
05 Theano/015 Building a neural network in Theano.mp4 22.8 MB
06 TensorFlow/016 TensorFlow Basics Variables Functions Expressions Optimization.mp4 17.9 MB
06 TensorFlow/017 Building a neural network in TensorFlow.mp4 25.0 MB
07 GPU Speedup Homework and Other Misc Topics/018 Setting up a GPU Instance on Amazon Web Services.mp4 26.9 MB
07 GPU Speedup Homework and Other Misc Topics/019 Can Big Data be used to Speed Up Backpropagation.mp4 5.5 MB
07 GPU Speedup Homework and Other Misc Topics/020 Exercises and Concepts Still to be Covered.mp4 4.7 MB

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【影视】 StraplessDildo - Isabella De Laa & Vixi Rafi - Deep Learning

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StraplessDildo - Isabella De Laa & Vixi Rafi - Deep Learning.mp4 1.8 GB
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【影视】 Let's Learn the Hindi Alphabet - Preschool Learning

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Let's Learn the Hindi Alphabet - Preschool Learning.mp4 70.6 MB
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【影视】 [FTUForum.com] [UDEMY] Beginner to Advanced Guide on Machine Learning with R Tool [FTU]

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7. Module-7 Regression/7. 7.7 Implementation of Forecasting.mp4 40.0 MB
3. Module-3 Classification/5. 3.5 Implementation of Naive-Bayes Classifier.mp4 35.7 MB
7. Module-7 Regression/6. 7.6 Forecasting.mp4 20.8 MB
1. Module-1 Introduction to Course/1. 1.1 Introduction to the Course.mp4 18.5 MB
2. Module-2 Introduction to validation and its Methods/3. 2.3 Caret package.mp4 16.5 MB
3. Module-3 Classification/3. 3.3 Implementation of KNN Algorithm.mp4 15.4 MB
7. Module-7 Regression/2. 7.2 Implementation of Linear Regression.mp4 12.9 MB
4. Module-4 Black Box Method-Neural network and SVM/3. 4.3 Implement Neural Network in R.mp4 12.9 MB
6. Module-6 Clustering/2. 6.2 K-Means Clustering.mp4 11.8 MB
5. Module-5 Tree Based Models/4. 5.4 Boosting.mp4 11.3 MB
7. Module-7 Regression/3. 7.3 Multiple Covariates Regression.mp4 10.8 MB
4. Module-4 Black Box Method-Neural network and SVM/7. 4.7 Implementation of SVM in R.mp4 9.3 MB
5. Module-5 Tree Based Models/2. 5.2 Implementation of Decision Tree.mp4 9.1 MB
6. Module-6 Clustering/3. 6.3 Implementation of K-Means Clustering.mp4 8.5 MB
5. Module-5 Tree Based Models/3. 5.3 Bagging.mp4 8.1 MB
5. Module-5 Tree Based Models/6. 5.6 Implementation of Random Forest.mp4 7.8 MB
6. Module-6 Clustering/4. 6.4 Hierarchical Clustering.mp4 7.5 MB
7. Module-7 Regression/5. 7.5 Implementation of Logistic Regression.mp4 6.9 MB
3. Module-3 Classification/7. 3.7 Implementation of Linear Discriminant Analysis.mp4 6.7 MB
3. Module-3 Classification/2. 3.2 KNN- K Nearest Neighbors.mp4 6.4 MB

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【影视】 Udemy - Apache Kafka Series - Kafka Connect Hands-on Learning

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08 - Writing your own Kafka Connector/011 Source Task.mp4 134.5 MB
09 - Advanced Concepts/001 Setting up Kafka Connect in Production (12).mp4 114.4 MB
08 - Writing your own Kafka Connector/005 Config Definitions.mp4 103.2 MB
07 - Kafka Connect Sink - Hands On/004 Kafka Connect REST API.mp4 86.8 MB
06 - Kafka Connect Source - Hands On/007 Twitter Source Connector - Distributed Mode - Part 2.mp4 64.8 MB
07 - Kafka Connect Sink - Hands On/005 JDBC Sink Connector - Distributed Mode.mp4 64.5 MB
08 - Writing your own Kafka Connector/009 Writing our GitHub API HTTP Client.mp4 64.5 MB
01 - Course Introduction/004 About Your Instructor.mp4 57.7 MB
08 - Writing your own Kafka Connector/007 Writing a schema.mp4 54.2 MB
06 - Kafka Connect Source - Hands On/003 FileStream Source Connector - Standalone Mode - Part 2.mp4 53.2 MB
08 - Writing your own Kafka Connector/006 Connector Class.mp4 47.8 MB
08 - Writing your own Kafka Connector/014 Deploying our Connector on the Landoop cluster.mp4 47.0 MB
07 - Kafka Connect Sink - Hands On/003 ElasticSearch Sink Connector - Distributed Mode - Part 2.mp4 45.2 MB
06 - Kafka Connect Source - Hands On/004 FileStream Source Connector - Distributed Mode.mp4 44.8 MB
09 - Advanced Concepts/002 Setting up Kafka Connect in Production (22).mp4 44.3 MB
08 - Writing your own Kafka Connector/008 Data Model for our Objects.mp4 43.2 MB
06 - Kafka Connect Source - Hands On/006 Twitter Source Connector - Distributed Mode - Part 1.mp4 39.1 MB
04 - Setup and Launch Kafka Connect Cluster/004 Docker on Linux (Ubuntu as an example).mp4 38.6 MB
08 - Writing your own Kafka Connector/012 Building and running a Connector in Standalone Mode.mp4 34.7 MB
08 - Writing your own Kafka Connector/004 Using the Maven Archetype to get started.mp4 34.0 MB

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【影视】 [FreeCourseSite.com] Udemy - Master Deep Learning with TensorFlow in Python

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14. Appendix Linear Algebra Fundamentals/11. Why is Linear Algebra Useful.mp4 151.3 MB
1. Welcome! Course introduction/1. Meet your instructors and why you should study machine learning.mp4 110.9 MB
14. Appendix Linear Algebra Fundamentals/3. Linear Algebra and Geometry.mp4 52.2 MB
14. Appendix Linear Algebra Fundamentals/10. Dot Product of Matrices.mp4 51.8 MB
2. Introduction to neural networks/24. N-parameter gradient descent.mp4 41.4 MB
2. Introduction to neural networks/12. The linear model. Multiple inputs and multiple outputs.mp4 40.1 MB
14. Appendix Linear Algebra Fundamentals/8. Transpose of a Matrix.mp4 39.9 MB
13. Business case/4. Preprocessing the data.mp4 36.0 MB
14. Appendix Linear Algebra Fundamentals/2. Scalars and Vectors.mp4 35.5 MB
14. Appendix Linear Algebra Fundamentals/1. What is a Matrix.mp4 35.2 MB
14. Appendix Linear Algebra Fundamentals/6. Addition and Subtraction of Matrices.mp4 34.2 MB
13. Business case/6. Create a class for batching.mp4 29.0 MB
14. Appendix Linear Algebra Fundamentals/4. Scalars, Vectors and Matrices in Python.mp4 28.0 MB
14. Appendix Linear Algebra Fundamentals/9. Dot Product of Vectors.mp4 25.2 MB
13. Business case/1. Exploring the dataset and identifying predictors.mp4 24.4 MB
14. Appendix Linear Algebra Fundamentals/5. Tensors.mp4 23.6 MB
12. The MNIST example/9. Discuss the results and test.mp4 23.0 MB
4. Minimal example - your first machine learning algorithm/4. Minimal example - part 4.mp4 21.8 MB
13. Business case/7. Outlining the model.mp4 20.4 MB
12. The MNIST example/4. Outlining the model.mp4 19.3 MB

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【影视】 [FreeCourseSite.com] Udemy - Applied Deep Learning Build a Chatbot - Theory, Application

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6. Practical Part 4 - Building the Model/2. Defining the Encoder.mp4 254.0 MB
6. Practical Part 4 - Building the Model/6. Designing the Decoder Part 2.mp4 167.9 MB
6. Practical Part 4 - Building the Model/4. Designing the Attention Model.mp4 158.8 MB
7. Practical Part 5 - Training the Model/3. Visualize Training Part 1.mp4 138.3 MB
6. Practical Part 4 - Building the Model/5. Designing the Decoder Part 1.mp4 133.5 MB
7. Practical Part 5 - Training the Model/5. Training.mp4 128.8 MB
7. Practical Part 5 - Training the Model/4. Visualize Training Part 2.mp4 118.6 MB
5. Practical Part 3 - Data Preperation/5. Preparing the Data for Model Part 4.mp4 109.4 MB
4. Practical Part 2 - Processing the Dataset/8. Processing the Text Part 2.mp4 100.3 MB
4. Practical Part 2 - Processing the Dataset/7. Processing the Text.mp4 100.3 MB
4. Practical Part 2 - Processing the Dataset/6. Processing the Words.mp4 93.5 MB
5. Practical Part 3 - Data Preperation/4. Preparing the Data for Model Part 3.mp4 92.9 MB
5. Practical Part 3 - Data Preperation/1. Preparing the Data for Model Part 1.mp4 91.3 MB
4. Practical Part 2 - Processing the Dataset/10. Getting Rid of Rare Words.mp4 86.5 MB
4. Practical Part 2 - Processing the Dataset/1. The Dataset.mp4 85.8 MB
1. Theory Part 1 - RNNs and LSTMs/2. Introduction to RNNs Part 1.mp4 83.3 MB
3. Practical Part 1 - Introduction to PyTorch/2. Torch Tensors Part 1.mp4 81.5 MB
4. Practical Part 2 - Processing the Dataset/4. Processing the Dataset Part 3.mp4 79.4 MB
4. Practical Part 2 - Processing the Dataset/3. Processing the Data Part 2.mp4 77.4 MB
3. Practical Part 1 - Introduction to PyTorch/1. Installing PyTorch and an Introduction.mp4 76.5 MB

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【影视】 [ TutSala.com ] Udemy - Learn ASP Net MVC Core 5 - Extreme Learning Course in C#

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~Get Your Files Here !/7. Iteration 6 - Implementing the Service Layer/1. Implementing PaySystemService.mp4 184.7 MB
~Get Your Files Here !/2. Iteration 1 - Initial Business Layer and Web Project/5. Designing the Business Service & Company Controller.mp4 132.2 MB
~Get Your Files Here !/2. Iteration 1 - Initial Business Layer and Web Project/6. Implementing the Company Controller.mp4 125.7 MB
~Get Your Files Here !/3. Iteration 2 - Expanding the Web Application/5. The Employee Model & Controller.mp4 114.9 MB
~Get Your Files Here !/3. Iteration 2 - Expanding the Web Application/3. Wiring up the Model.mp4 108.9 MB
~Get Your Files Here !/8. Security/5. Security Review - OWASP Top 10.mp4 105.3 MB
~Get Your Files Here !/2. Iteration 1 - Initial Business Layer and Web Project/1. Designing the Company class.mp4 104.9 MB
~Get Your Files Here !/2. Iteration 1 - Initial Business Layer and Web Project/4. Building a Web Page for Editing Company Information - Part 1.mp4 102.1 MB
~Get Your Files Here !/6. Iteration 5 - Entity Framework & the Service Layer/1. Overview & the record Type Keyword.mp4 100.9 MB
~Get Your Files Here !/6. Iteration 5 - Entity Framework & the Service Layer/5. Seeding the Database.mp4 100.6 MB
~Get Your Files Here !/6. Iteration 5 - Entity Framework & the Service Layer/4. Entity Framework QuickStart - Part 2.mp4 91.8 MB
~Get Your Files Here !/3. Iteration 2 - Expanding the Web Application/1. Partial VIews.mp4 89.1 MB
~Get Your Files Here !/2. Iteration 1 - Initial Business Layer and Web Project/3. Overview of Asp.Net MVC Project.mp4 88.5 MB
~Get Your Files Here !/7. Iteration 6 - Implementing the Service Layer/2. Refactoring and Bug Fixes.mp4 87.8 MB
~Get Your Files Here !/6. Iteration 5 - Entity Framework & the Service Layer/2. Refactoring IPaySystemService.mp4 79.8 MB
~Get Your Files Here !/4. Iteration 3 - Controllers/1. Introduction to Controllers.mp4 76.4 MB
~Get Your Files Here !/8. Security/1. Using Identity for Authentication - Part 1.mp4 70.3 MB
~Get Your Files Here !/2. Iteration 1 - Initial Business Layer and Web Project/7. Adding a model - Part 1.mp4 66.5 MB
~Get Your Files Here !/4. Iteration 3 - Controllers/3. Designing Company Controller.mp4 64.6 MB
~Get Your Files Here !/1. Introduction/1. Introduction & Project Overview.mp4 64.5 MB

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【影视】 FullOfJoi - Brittany Andrews - Remote Learning

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FullOfJoi - Brittany Andrews - Remote Learning.mp4 318.5 MB
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【影视】 Pink Floyd - Learning to fly(1987).mkv

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Pink Floyd - Learning to fly(1987).mkv 79.6 MB

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【影视】 [CourseClub.ME] Udacity - Machine Learning Engineer Nanodegree v2.0.0

收录时间:2021-03-06 文档个数:3486 文档大小:3.9 GB 最近下载:2025-05-09 人气:520 磁力链接

Part 02-Module 04-Lesson 02_Deep Q-Learning/07. Experience Replay-wX_-SZG-YMQ.mp4 50.7 MB
Part 02-Module 04-Lesson 03_Policy-Based Methods/07. M2L3 07 V2-ZBLLGIN1EfU.mp4 45.7 MB
Part 01-Module 11-Lesson 04_Gaussian Mixture Models and Cluster Validation/19. MLND - Unsupervised Learning - L3 20 Internal Validation Indices MAIN V1 V2-39JruOTptKI.mp4 42.7 MB
Part 02-Module 04-Lesson 02_Deep Q-Learning/10. DQN Improvements-Zfdbp93A2GU.mp4 41.3 MB
Part 02-Module 03-Lesson 05_Monte Carlo Methods/03. MC Prediction State Values-0q2wSWyuBj8.mp4 35.0 MB
Part 02-Module 04-Lesson 01_RL in Continuous Spaces/01. Deep Reinforcement Learning-GPjK124RU5g.mp4 34.8 MB
Part 01-Module 11-Lesson 04_Gaussian Mixture Models and Cluster Validation/09. MLND - Unsupervised Learning - L3 09 Expectation Maximization Pt 1 V1 MAIN 1 V2-cf-RLKn5ubA.mp4 34.2 MB
Part 02-Module 06-Lesson 02_Take 30 Min to Improve your LinkedIn/02. Meet Chris-0ccflD9x5WU.mp4 34.1 MB
Part 02-Module 04-Lesson 03_Policy-Based Methods/02. M2L3 02 V2-ToS8vXGdODE.mp4 34.1 MB
Part 01-Module 13-Lesson 01_PCA/31. Eigenfaces Code-LgLYw-G4sLQ.mp4 34.0 MB
Part 01-Module 11-Lesson 04_Gaussian Mixture Models and Cluster Validation/14. MLND - Unsupervised Learning - L3 15 GMM Examples And Applications MAIN V2 V1-FRoxeLp81Bg.mp4 33.2 MB
Part 02-Module 03-Lesson 04_Dynamic Programming/14. Policy Improvement-4_adUEK0IHg.mp4 31.9 MB
Part 02-Module 03-Lesson 06_Temporal-Difference Methods/03. TD Prediction TD(0)-CsD6b0csU7o.mp4 31.6 MB
Part 02-Module 04-Lesson 01_RL in Continuous Spaces/11. Linear Function Approximation-OJ5wrB7o-pI.mp4 30.1 MB
Part 02-Module 03-Lesson 04_Dynamic Programming/05. An Iterative Method-AX-hG3KvwzY.mp4 28.9 MB
Part 01-Module 01-Lesson 01_Welcome to Machine Learning/01. 01 Boas-vindas ao programa IntroduçãoMLND V3-A8AnsR6e75I.mp4 28.3 MB
Part 01-Module 10-Lesson 05_Support Vector Machines/13. SVM 11 Polynomial Kernel 3 V1-XmbK8OjbX5U.mp4 28.1 MB
Part 01-Module 11-Lesson 04_Gaussian Mixture Models and Cluster Validation/10. MLND - Unsupervised Learning - L3 10 Expectation Maximization Pt 2 MAIN V1 V2-B_xXd0mFUm4.mp4 27.6 MB
Part 02-Module 04-Lesson 02_Deep Q-Learning/06. Deep Q Network-GgtR_d1OB-M.mp4 26.9 MB
Part 02-Module 06-Lesson 01_Optimize Your GitHub Profile/14. Interview with Art - Part 3-M6PKr3S1rPg.mp4 26.3 MB

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【影视】 Udemy - A deep understanding of deep learning (with Python intro) 2-2023

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19 - Understand and design CNNs/177 - Examine feature map activations.mp4 432.2 MB
22 - Style transfer/205 - Transferring the screaming bathtub.mp4 361.5 MB
19 - Understand and design CNNs/176 - Classify Gaussian blurs.mp4 293.3 MB
24 - RNNs Recurrent Neural Networks and GRULSTM/218 - CodeChallenge sine wave extrapolation.mp4 272.5 MB
18 - Convolution and transformations/163 - Convolution in code.mp4 270.8 MB
24 - RNNs Recurrent Neural Networks and GRULSTM/217 - Predicting alternating sequences.mp4 259.1 MB
26 - Where to go from here/229 - How to read academic DL papers.mp4 232.8 MB
19 - Understand and design CNNs/184 - The EMNIST dataset letter recognition.mp4 230.7 MB
19 - Understand and design CNNs/174 - CNN to classify MNIST digits.mp4 228.4 MB
24 - RNNs Recurrent Neural Networks and GRULSTM/222 - Lorem ipsum.mp4 226.2 MB
7 - ANNs Artificial Neural Networks/52 - Multioutput ANN iris dataset.mp4 225.5 MB
23 - Generative adversarial networks/210 - CNN GAN with Gaussians.mp4 224.6 MB
21 - Transfer learning/200 - Pretraining with autoencoders.mp4 218.8 MB
19 - Understand and design CNNs/180 - Do autoencoders clean Gaussians.mp4 216.1 MB
9 - Regularization/72 - Dropout regularization in practice.mp4 211.2 MB
21 - Transfer learning/198 - Transfer learning with ResNet18.mp4 210.9 MB
16 - Autoencoders/157 - Autoencoder with tied weights.mp4 210.4 MB
7 - ANNs Artificial Neural Networks/47 - ANN for classifying qwerties.mp4 205.8 MB
10 - Metaparameters activations optimizers/82 - The wine quality dataset.mp4 203.8 MB
18 - Convolution and transformations/171 - Image transforms.mp4 202.3 MB