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种子名称： LinkedIn Learning - Become an AI Engineer - Complete 6 Courses
文件类型： 视频
文件数目： 154个文件
文件大小： 1.88 GB
收录时间： 2025-1-2 18:07
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LinkedIn Learning - Become an AI Engineer - Complete 6 Courses.torrent

1. AI Engineering Essentials Navigating the Tech Revolution/0 - Introduction/1. Tools for AI engineers to lead through change.mp44.89MB

1. AI Engineering Essentials Navigating the Tech Revolution/1 - Adapting to Being Both an AI Engineer and Leader/1. Embarking on the AI journey.mp422.37MB

1. AI Engineering Essentials Navigating the Tech Revolution/1 - Adapting to Being Both an AI Engineer and Leader/2. Software developer to AI engineer.mp441.29MB

1. AI Engineering Essentials Navigating the Tech Revolution/1 - Adapting to Being Both an AI Engineer and Leader/3. Pairing cognition and context.mp437.21MB

1. AI Engineering Essentials Navigating the Tech Revolution/1 - Adapting to Being Both an AI Engineer and Leader/4. Coding Adaptable recipes.mp443.04MB

1. AI Engineering Essentials Navigating the Tech Revolution/2 - You’ve Got an A—Now Let’s Get Some CORN/1. AI's evolution is a lot like cooking's evolution.mp436.65MB

1. AI Engineering Essentials Navigating the Tech Revolution/2 - You’ve Got an A—Now Let’s Get Some CORN/2. Coding Contextual recipes.mp438.92MB

1. AI Engineering Essentials Navigating the Tech Revolution/2 - You’ve Got an A—Now Let’s Get Some CORN/3. Embracing failure is healthy.mp429.16MB

1. AI Engineering Essentials Navigating the Tech Revolution/2 - You’ve Got an A—Now Let’s Get Some CORN/4. Coding Observable recipes.mp423.26MB

1. AI Engineering Essentials Navigating the Tech Revolution/2 - You’ve Got an A—Now Let’s Get Some CORN/5. Managing AI risks.mp418.62MB

1. AI Engineering Essentials Navigating the Tech Revolution/2 - You’ve Got an A—Now Let’s Get Some CORN/6. Coding Responsible recipes.mp423.31MB

1. AI Engineering Essentials Navigating the Tech Revolution/2 - You’ve Got an A—Now Let’s Get Some CORN/7. Tell powerful stories.mp413.17MB

1. AI Engineering Essentials Navigating the Tech Revolution/2 - You’ve Got an A—Now Let’s Get Some CORN/8. Coding Narrative-driven recipes.mp435.45MB

1. AI Engineering Essentials Navigating the Tech Revolution/3 - What's Next/1. Agent to multi-agents.mp421.38MB

1. AI Engineering Essentials Navigating the Tech Revolution/3 - What's Next/2. Coding Multi-agent recipes.mp428.98MB

1. AI Engineering Essentials Navigating the Tech Revolution/4 - Conclusion/1. Closing the kitchen.mp418.13MB

2. Machine Learning with Python Foundations/0 - Introduction/1. Machine learning in our world.mp42.76MB

2. Machine Learning with Python Foundations/0 - Introduction/2. What you should know.mp41.28MB

2. Machine Learning with Python Foundations/0 - Introduction/3. The tools you need.mp41.68MB

2. Machine Learning with Python Foundations/0 - Introduction/4. Using the exercise files.mp47.19MB

2. Machine Learning with Python Foundations/1 - Machine Learning/1. What is machine learning.mp48.51MB

2. Machine Learning with Python Foundations/1 - Machine Learning/2. What is not machine learning.mp411.88MB

2. Machine Learning with Python Foundations/1 - Machine Learning/3. What is unsupervised learning.mp46.33MB

2. Machine Learning with Python Foundations/1 - Machine Learning/4. What is supervised learning.mp49.11MB

2. Machine Learning with Python Foundations/1 - Machine Learning/5. What is reinforcement learning.mp412.58MB

2. Machine Learning with Python Foundations/1 - Machine Learning/6. What are the steps to machine learning.mp417.55MB

2. Machine Learning with Python Foundations/2 - Collecting Data for Machine Learning/1. Things to consider when collecting data.mp411.53MB

2. Machine Learning with Python Foundations/2 - Collecting Data for Machine Learning/2. How to import data in Python.mp413.61MB

2. Machine Learning with Python Foundations/3 - Understanding Data for Machine Learning/1. Describe your data.mp47.06MB

2. Machine Learning with Python Foundations/3 - Understanding Data for Machine Learning/2. How to summarize data in Python.mp415.4MB

2. Machine Learning with Python Foundations/3 - Understanding Data for Machine Learning/3. Visualize your data.mp47.95MB

2. Machine Learning with Python Foundations/3 - Understanding Data for Machine Learning/4. How to visualize data in Python.mp415.79MB

2. Machine Learning with Python Foundations/4 - Preparing Data for Machine Learning/1. Common data quality issues.mp47.98MB

2. Machine Learning with Python Foundations/4 - Preparing Data for Machine Learning/2. How to resolve missing data in Python.mp421.99MB

2. Machine Learning with Python Foundations/4 - Preparing Data for Machine Learning/3. Normalizing your data.mp49.72MB

2. Machine Learning with Python Foundations/4 - Preparing Data for Machine Learning/4. How to normalize data in Python.mp411.35MB

2. Machine Learning with Python Foundations/4 - Preparing Data for Machine Learning/5. Sampling your data.mp48.54MB

2. Machine Learning with Python Foundations/4 - Preparing Data for Machine Learning/6. How to sample data in Python.mp416.73MB

2. Machine Learning with Python Foundations/4 - Preparing Data for Machine Learning/7. Reducing the dimensionality of your data.mp46.77MB

2. Machine Learning with Python Foundations/5 - Types of Machine Learning Models/1. Classification vs. regression problems.mp47.02MB

2. Machine Learning with Python Foundations/5 - Types of Machine Learning Models/2. How to build a machine learning model in Python.mp415.81MB

2. Machine Learning with Python Foundations/5 - Types of Machine Learning Models/3. Common machine learning algorithms.mp412.46MB

2. Machine Learning with Python Foundations/6 - Conclusion/1. Next steps with applied machine learning.mp43.84MB

3. Full-Stack Deep Learning with Python/0 - Introduction/1. Full-stack deep learning, MLOps, and MLflow.mp49.92MB

3. Full-Stack Deep Learning with Python/0 - Introduction/2. Prerequisites.mp4914.07KB

3. Full-Stack Deep Learning with Python/1 - An Overview of Full-Stack Deep Learning/1. Introducing full-stack deep learning.mp47.91MB

3. Full-Stack Deep Learning with Python/1 - An Overview of Full-Stack Deep Learning/2. Introducing MLOps.mp46.71MB

3. Full-Stack Deep Learning with Python/1 - An Overview of Full-Stack Deep Learning/3. Introducing MLflow.mp46.42MB

3. Full-Stack Deep Learning with Python/1 - An Overview of Full-Stack Deep Learning/4. Setting up the environment on Google Colab.mp412.76MB

3. Full-Stack Deep Learning with Python/1 - An Overview of Full-Stack Deep Learning/5. Running MLflow and using ngrok to access the MLflow UI.mp410.22MB

4. Building Computer Vision Applications with Python/0 - Introduction/1. Computer vision under the hood.mp47.37MB

4. Building Computer Vision Applications with Python/0 - Introduction/2. What you should know.mp42.73MB

4. Building Computer Vision Applications with Python/0 - Introduction/3. Using the exercise files.mp41.78MB

4. Building Computer Vision Applications with Python/1 - Setting Up Your Environment/1. Installing Anaconda and OpenCV.mp41.95MB

4. Building Computer Vision Applications with Python/1 - Setting Up Your Environment/2. Testing your environment.mp410.56MB

4. Building Computer Vision Applications with Python/2 - The Basics of Image Processing/1. Image representation.mp412.07MB

4. Building Computer Vision Applications with Python/2 - The Basics of Image Processing/2. Color encoding.mp47.92MB

4. Building Computer Vision Applications with Python/2 - The Basics of Image Processing/3. Image file management.mp419.14MB

4. Building Computer Vision Applications with Python/2 - The Basics of Image Processing/4. Resolution.mp48.77MB

4. Building Computer Vision Applications with Python/2 - The Basics of Image Processing/5. Rotations and flips.mp46.14MB

4. Building Computer Vision Applications with Python/2 - The Basics of Image Processing/6. Challenge Manipulate some pictures.mp47.25MB

4. Building Computer Vision Applications with Python/2 - The Basics of Image Processing/7. Solution Manipulate some pictures.mp49.54MB

4. Building Computer Vision Applications with Python/3 - From Color to Black and White/1. Average grayscale.mp410.88MB

4. Building Computer Vision Applications with Python/3 - From Color to Black and White/2. Weighted grayscale.mp46.22MB

4. Building Computer Vision Applications with Python/3 - From Color to Black and White/3. Converting grayscale to black and white.mp410.45MB

4. Building Computer Vision Applications with Python/3 - From Color to Black and White/4. Adaptive thresholding.mp420.95MB

4. Building Computer Vision Applications with Python/3 - From Color to Black and White/5. Challenge Removing color.mp42.89MB

4. Building Computer Vision Applications with Python/3 - From Color to Black and White/6. Solution Removing color.mp44.15MB

4. Building Computer Vision Applications with Python/4 - Filters/1. Convolution filters.mp48.48MB

4. Building Computer Vision Applications with Python/4 - Filters/2. Average filters.mp411.36MB

4. Building Computer Vision Applications with Python/4 - Filters/3. Median filters.mp425.41MB

4. Building Computer Vision Applications with Python/4 - Filters/4. Gaussian filters.mp48.2MB

4. Building Computer Vision Applications with Python/4 - Filters/5. Edge detection filters.mp414.19MB

4. Building Computer Vision Applications with Python/4 - Filters/6. Challenge Convolution filters.mp44.76MB

4. Building Computer Vision Applications with Python/4 - Filters/7. Solution Convolution filters.mp46.22MB

4. Building Computer Vision Applications with Python/5 - Image Scaling/1. Image downscaling methods.mp44.2MB

4. Building Computer Vision Applications with Python/5 - Image Scaling/2. Downscaling example.mp411.39MB

4. Building Computer Vision Applications with Python/5 - Image Scaling/3. Image upscaling methods.mp43.49MB

4. Building Computer Vision Applications with Python/5 - Image Scaling/4. Upscaling example.mp411.66MB

4. Building Computer Vision Applications with Python/5 - Image Scaling/5. Challenge Resize a picture.mp42.94MB

4. Building Computer Vision Applications with Python/5 - Image Scaling/6. Solution Resize a picture.mp46.1MB

4. Building Computer Vision Applications with Python/6 - Fun with Cuts/1. Image cuts.mp413.72MB

4. Building Computer Vision Applications with Python/6 - Fun with Cuts/2. Stitching two images together.mp444.15MB

4. Building Computer Vision Applications with Python/6 - Fun with Cuts/3. Cuts in panoramic photography.mp412.47MB

4. Building Computer Vision Applications with Python/6 - Fun with Cuts/4. Challenge Stitch two pictures together.mp43.61MB

4. Building Computer Vision Applications with Python/6 - Fun with Cuts/5. Solution Stitch two pictures together.mp46.43MB

4. Building Computer Vision Applications with Python/7 - Morphological Modifications/1. Why modify objects.mp413.84MB

4. Building Computer Vision Applications with Python/7 - Morphological Modifications/2. Erosion and dilation.mp411.42MB

4. Building Computer Vision Applications with Python/7 - Morphological Modifications/3. Open and close.mp47.14MB

4. Building Computer Vision Applications with Python/7 - Morphological Modifications/4. Challenge Help a robot.mp49.03MB

4. Building Computer Vision Applications with Python/7 - Morphological Modifications/5. Solution Help a robot.mp47.91MB

4. Building Computer Vision Applications with Python/8 - Conclusion/1. Next steps.mp41.82MB

5. Training Neural Networks in Python onehack.us/0 - Introduction/1. Creating a neural network in Python.mp414.05MB

5. Training Neural Networks in Python onehack.us/0 - Introduction/2. What you should know.mp45.88MB

5. Training Neural Networks in Python onehack.us/0 - Introduction/3. Using GitHub Codespaces with this course.mp421.57MB

5. Training Neural Networks in Python onehack.us/1 - Choosing a Neural Network/1. What is a neural network.mp42.35MB

5. Training Neural Networks in Python onehack.us/1 - Choosing a Neural Network/2. Why Python.mp43.82MB

5. Training Neural Networks in Python onehack.us/1 - Choosing a Neural Network/3. The many applications of machine learning.mp420.02MB

5. Training Neural Networks in Python onehack.us/1 - Choosing a Neural Network/4. Types of classifiers.mp418.24MB

5. Training Neural Networks in Python onehack.us/1 - Choosing a Neural Network/5. Types of neural networks.mp413.18MB

5. Training Neural Networks in Python onehack.us/1 - Choosing a Neural Network/6. Multilayer perceptrons.mp47.76MB

5. Training Neural Networks in Python onehack.us/2 - The Building Blocks of Neural Networks/1. Neurons and the brain.mp47.78MB

5. Training Neural Networks in Python onehack.us/2 - The Building Blocks of Neural Networks/2. A simple model of a neuron.mp423.86MB

5. Training Neural Networks in Python onehack.us/2 - The Building Blocks of Neural Networks/3. Activation functions.mp427.32MB

5. Training Neural Networks in Python onehack.us/2 - The Building Blocks of Neural Networks/4. Perceptrons A better model of a neuron.mp411.29MB

5. Training Neural Networks in Python onehack.us/2 - The Building Blocks of Neural Networks/5. Challenge Finish the perceptron.mp44.57MB

5. Training Neural Networks in Python onehack.us/2 - The Building Blocks of Neural Networks/6. Solution Finish the perceptron.mp41.96MB

5. Training Neural Networks in Python onehack.us/2 - The Building Blocks of Neural Networks/7. Logic gates.mp413.42MB

5. Training Neural Networks in Python onehack.us/2 - The Building Blocks of Neural Networks/8. Challenge Logic gates with perceptrons.mp45.08MB

5. Training Neural Networks in Python onehack.us/2 - The Building Blocks of Neural Networks/9. Solution Logic gates with perceptrons.mp42.55MB

5. Training Neural Networks in Python onehack.us/3 - Building Your Network/1. Linear separability.mp415.25MB

5. Training Neural Networks in Python onehack.us/3 - Building Your Network/2. Writing the multilayer perceptron class.mp49.55MB

5. Training Neural Networks in Python onehack.us/3 - Building Your Network/3. Challenge Finish the multilayer perceptron class.mp44.87MB

5. Training Neural Networks in Python onehack.us/3 - Building Your Network/4. Solution Finish the multilayer perceptron class.mp46.76MB

5. Training Neural Networks in Python onehack.us/4 - Training Your Network/1. The need for training.mp420.25MB

5. Training Neural Networks in Python onehack.us/4 - Training Your Network/2. The training process.mp415.52MB

5. Training Neural Networks in Python onehack.us/4 - Training Your Network/3. The error function.mp410.5MB

5. Training Neural Networks in Python onehack.us/4 - Training Your Network/4. Gradient descent.mp412.23MB

5. Training Neural Networks in Python onehack.us/4 - Training Your Network/5. The Delta rule.mp415.35MB

5. Training Neural Networks in Python onehack.us/4 - Training Your Network/6. The Backpropagation algorithm.mp440.8MB

5. Training Neural Networks in Python onehack.us/4 - Training Your Network/7. Challenge Write your own Backpropagation method.mp411.57MB

5. Training Neural Networks in Python onehack.us/4 - Training Your Network/8. Solution Write your own Backpropagation method.mp416.57MB

5. Training Neural Networks in Python onehack.us/5 - Let's Make a Segment Display Classifier/1. Segment display recognition.mp413.72MB

5. Training Neural Networks in Python onehack.us/5 - Let's Make a Segment Display Classifier/2. Challenge Design your own SDR neural network.mp46.81MB

5. Training Neural Networks in Python onehack.us/5 - Let's Make a Segment Display Classifier/3. Solution Design your own SDR neural network.mp423.25MB

5. Training Neural Networks in Python onehack.us/5 - Let's Make a Segment Display Classifier/4. Challenge Train your own SDR neural network.mp413.88MB

5. Training Neural Networks in Python onehack.us/5 - Let's Make a Segment Display Classifier/5. Solution Train your own SDR neural network.mp412.02MB

5. Training Neural Networks in Python onehack.us/5 - Let's Make a Segment Display Classifier/6. 7 to 1 network GUI demo.mp416.88MB

5. Training Neural Networks in Python onehack.us/5 - Let's Make a Segment Display Classifier/7. 7 to 10 network GUI demo.mp47.85MB

5. Training Neural Networks in Python onehack.us/5 - Let's Make a Segment Display Classifier/8. 7 to 7 network GUI demo.mp411.45MB

5. Training Neural Networks in Python onehack.us/6 - Conclusion/1. Next steps.mp43.12MB

6. Deep Learning Foundations Natural Language Processing with TensorFlow/0 - Introduction/1. Leveraging deep learning for natural language processing.mp412.42MB

6. Deep Learning Foundations Natural Language Processing with TensorFlow/1 - Getting Started with NLP/1. Introduction to natural language processing.mp45.3MB

6. Deep Learning Foundations Natural Language Processing with TensorFlow/1 - Getting Started with NLP/2. Introduction to word encodings.mp48.73MB

6. Deep Learning Foundations Natural Language Processing with TensorFlow/1 - Getting Started with NLP/3. Tokenization using TensorFlow.mp412.56MB

6. Deep Learning Foundations Natural Language Processing with TensorFlow/1 - Getting Started with NLP/4. Padding the sequences.mp412.02MB

6. Deep Learning Foundations Natural Language Processing with TensorFlow/1 - Getting Started with NLP/5. Challenge Recognizing sarcasm in the text.mp44.51MB

6. Deep Learning Foundations Natural Language Processing with TensorFlow/1 - Getting Started with NLP/6. Solution Recognizing sarcasm in the text.mp44.98MB

6. Deep Learning Foundations Natural Language Processing with TensorFlow/2 - Text Classification/1. Introduction to word embeddings.mp48MB

6. Deep Learning Foundations Natural Language Processing with TensorFlow/2 - Text Classification/2. Classifying movie reviews using TensorFlow.mp425.54MB

6. Deep Learning Foundations Natural Language Processing with TensorFlow/2 - Text Classification/3. Projecting vectors using TensorFlow.mp423.56MB

6. Deep Learning Foundations Natural Language Processing with TensorFlow/2 - Text Classification/4. Building a text classifier.mp423.43MB

6. Deep Learning Foundations Natural Language Processing with TensorFlow/2 - Text Classification/5. Challenge Text classification.mp45.46MB

6. Deep Learning Foundations Natural Language Processing with TensorFlow/2 - Text Classification/6. Solution Text classification.mp415.66MB

6. Deep Learning Foundations Natural Language Processing with TensorFlow/3 - Classification with RNNs and LSTMs/1. Introduction to RNNs.mp48.25MB

6. Deep Learning Foundations Natural Language Processing with TensorFlow/3 - Classification with RNNs and LSTMs/2. Implementing LSTMs with TensorFlow.mp417.04MB

6. Deep Learning Foundations Natural Language Processing with TensorFlow/3 - Classification with RNNs and LSTMs/3. Improving your movie review classifier.mp412.32MB

6. Deep Learning Foundations Natural Language Processing with TensorFlow/3 - Classification with RNNs and LSTMs/4. Challenge Yelp review classifier.mp44.84MB

6. Deep Learning Foundations Natural Language Processing with TensorFlow/3 - Classification with RNNs and LSTMs/5. Solution Yelp review classifier.mp411.11MB

6. Deep Learning Foundations Natural Language Processing with TensorFlow/4 - Text Generation with RNNs/1. Introduction to text generation.mp49.66MB

6. Deep Learning Foundations Natural Language Processing with TensorFlow/4 - Text Generation with RNNs/2. Predicting the next word.mp421.36MB

6. Deep Learning Foundations Natural Language Processing with TensorFlow/4 - Text Generation with RNNs/3. Challenge Generate poetry.mp45.14MB

6. Deep Learning Foundations Natural Language Processing with TensorFlow/4 - Text Generation with RNNs/4. Solution Generate poetry.mp419.56MB

6. Deep Learning Foundations Natural Language Processing with TensorFlow/5 - Conclusion/1. Learning more about NLP with TensorFlow.mp42.1MB