[LinkedIn Learning] Become an AI Engineer - Complete 6 Courses

磁力链接/BT种子名称

[LinkedIn Learning] Become an AI Engineer - Complete 6 Courses

磁力链接/BT种子简介

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文件列表

  • 4. Building Computer Vision Applications with Python/Ex_Files_Computer_Vision_Deep_Dive_in_Python.zip 152.8 MB
  • 4. Building Computer Vision Applications with Python/6 - Fun with Cuts/2. Stitching two images together.mp4 46.3 MB
  • 1. AI Engineering Essentials Navigating the Tech Revolution/1 - Adapting to Being Both an AI Engineer and Leader/4. Coding Adaptable recipes.mp4 45.1 MB
  • 1. AI Engineering Essentials Navigating the Tech Revolution/1 - Adapting to Being Both an AI Engineer and Leader/2. Software developer to AI engineer.mp4 43.3 MB
  • 5. Training Neural Networks in Python onehack.us/4 - Training Your Network/6. The Backpropagation algorithm.mp4 42.8 MB
  • 1. AI Engineering Essentials Navigating the Tech Revolution/2 - You’ve Got an A—Now Let’s Get Some CORN/2. Coding Contextual recipes.mp4 40.8 MB
  • 1. AI Engineering Essentials Navigating the Tech Revolution/1 - Adapting to Being Both an AI Engineer and Leader/3. Pairing cognition and context.mp4 39.0 MB
  • 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.mp4 38.4 MB
  • 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.mp4 37.2 MB
  • 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.mp4 30.6 MB
  • 1. AI Engineering Essentials Navigating the Tech Revolution/3 - What's Next/2. Coding Multi-agent recipes.mp4 30.4 MB
  • 5. Training Neural Networks in Python onehack.us/2 - The Building Blocks of Neural Networks/3. Activation functions.mp4 28.7 MB
  • 6. Deep Learning Foundations Natural Language Processing with TensorFlow/2 - Text Classification/2. Classifying movie reviews using TensorFlow.mp4 26.8 MB
  • 4. Building Computer Vision Applications with Python/4 - Filters/3. Median filters.mp4 26.6 MB
  • 5. Training Neural Networks in Python onehack.us/2 - The Building Blocks of Neural Networks/2. A simple model of a neuron.mp4 25.0 MB
  • 6. Deep Learning Foundations Natural Language Processing with TensorFlow/2 - Text Classification/3. Projecting vectors using TensorFlow.mp4 24.7 MB
  • 6. Deep Learning Foundations Natural Language Processing with TensorFlow/2 - Text Classification/4. Building a text classifier.mp4 24.6 MB
  • 1. AI Engineering Essentials Navigating the Tech Revolution/2 - You’ve Got an A—Now Let’s Get Some CORN/6. Coding Responsible recipes.mp4 24.4 MB
  • 1. AI Engineering Essentials Navigating the Tech Revolution/2 - You’ve Got an A—Now Let’s Get Some CORN/4. Coding Observable recipes.mp4 24.4 MB
  • 5. Training Neural Networks in Python onehack.us/5 - Let's Make a Segment Display Classifier/3. Solution Design your own SDR neural network.mp4 24.4 MB
  • 1. AI Engineering Essentials Navigating the Tech Revolution/1 - Adapting to Being Both an AI Engineer and Leader/1. Embarking on the AI journey.mp4 23.5 MB
  • 2. Machine Learning with Python Foundations/4 - Preparing Data for Machine Learning/2. How to resolve missing data in Python.mp4 23.1 MB
  • 5. Training Neural Networks in Python onehack.us/0 - Introduction/3. Using GitHub Codespaces with this course.mp4 22.6 MB
  • 1. AI Engineering Essentials Navigating the Tech Revolution/3 - What's Next/1. Agent to multi-agents.mp4 22.4 MB
  • 6. Deep Learning Foundations Natural Language Processing with TensorFlow/4 - Text Generation with RNNs/2. Predicting the next word.mp4 22.4 MB
  • 4. Building Computer Vision Applications with Python/3 - From Color to Black and White/4. Adaptive thresholding.mp4 22.0 MB
  • 5. Training Neural Networks in Python onehack.us/4 - Training Your Network/1. The need for training.mp4 21.2 MB
  • 5. Training Neural Networks in Python onehack.us/1 - Choosing a Neural Network/3. The many applications of machine learning.mp4 21.0 MB
  • 6. Deep Learning Foundations Natural Language Processing with TensorFlow/4 - Text Generation with RNNs/4. Solution Generate poetry.mp4 20.5 MB
  • 4. Building Computer Vision Applications with Python/2 - The Basics of Image Processing/3. Image file management.mp4 20.1 MB
  • 1. AI Engineering Essentials Navigating the Tech Revolution/2 - You’ve Got an A—Now Let’s Get Some CORN/5. Managing AI risks.mp4 19.5 MB
  • 5. Training Neural Networks in Python onehack.us/1 - Choosing a Neural Network/4. Types of classifiers.mp4 19.1 MB
  • 1. AI Engineering Essentials Navigating the Tech Revolution/4 - Conclusion/1. Closing the kitchen.mp4 19.0 MB
  • 2. Machine Learning with Python Foundations/1 - Machine Learning/6. What are the steps to machine learning.mp4 18.4 MB
  • 6. Deep Learning Foundations Natural Language Processing with TensorFlow/3 - Classification with RNNs and LSTMs/2. Implementing LSTMs with TensorFlow.mp4 17.9 MB
  • 5. Training Neural Networks in Python onehack.us/5 - Let's Make a Segment Display Classifier/6. 7 to 1 network GUI demo.mp4 17.7 MB
  • 2. Machine Learning with Python Foundations/4 - Preparing Data for Machine Learning/6. How to sample data in Python.mp4 17.5 MB
  • 5. Training Neural Networks in Python onehack.us/4 - Training Your Network/8. Solution Write your own Backpropagation method.mp4 17.4 MB
  • 2. Machine Learning with Python Foundations/5 - Types of Machine Learning Models/2. How to build a machine learning model in Python.mp4 16.6 MB
  • 2. Machine Learning with Python Foundations/3 - Understanding Data for Machine Learning/4. How to visualize data in Python.mp4 16.6 MB
  • 6. Deep Learning Foundations Natural Language Processing with TensorFlow/2 - Text Classification/6. Solution Text classification.mp4 16.4 MB
  • 5. Training Neural Networks in Python onehack.us/4 - Training Your Network/2. The training process.mp4 16.3 MB
  • 2. Machine Learning with Python Foundations/3 - Understanding Data for Machine Learning/2. How to summarize data in Python.mp4 16.1 MB
  • 5. Training Neural Networks in Python onehack.us/4 - Training Your Network/5. The Delta rule.mp4 16.1 MB
  • 5. Training Neural Networks in Python onehack.us/3 - Building Your Network/1. Linear separability.mp4 16.0 MB
  • 4. Building Computer Vision Applications with Python/4 - Filters/5. Edge detection filters.mp4 14.9 MB
  • 5. Training Neural Networks in Python onehack.us/0 - Introduction/1. Creating a neural network in Python.mp4 14.7 MB
  • 5. Training Neural Networks in Python onehack.us/5 - Let's Make a Segment Display Classifier/4. Challenge Train your own SDR neural network.mp4 14.6 MB
  • 4. Building Computer Vision Applications with Python/7 - Morphological Modifications/1. Why modify objects.mp4 14.5 MB
  • 4. Building Computer Vision Applications with Python/6 - Fun with Cuts/1. Image cuts.mp4 14.4 MB
  • 5. Training Neural Networks in Python onehack.us/5 - Let's Make a Segment Display Classifier/1. Segment display recognition.mp4 14.4 MB
  • 2. Machine Learning with Python Foundations/2 - Collecting Data for Machine Learning/2. How to import data in Python.mp4 14.3 MB
  • 5. Training Neural Networks in Python onehack.us/2 - The Building Blocks of Neural Networks/7. Logic gates.mp4 14.1 MB
  • 5. Training Neural Networks in Python onehack.us/1 - Choosing a Neural Network/5. Types of neural networks.mp4 13.8 MB
  • 1. AI Engineering Essentials Navigating the Tech Revolution/2 - You’ve Got an A—Now Let’s Get Some CORN/7. Tell powerful stories.mp4 13.8 MB
  • 3. Full-Stack Deep Learning with Python/1 - An Overview of Full-Stack Deep Learning/4. Setting up the environment on Google Colab.mp4 13.4 MB
  • 2. Machine Learning with Python Foundations/1 - Machine Learning/5. What is reinforcement learning.mp4 13.2 MB
  • 6. Deep Learning Foundations Natural Language Processing with TensorFlow/1 - Getting Started with NLP/3. Tokenization using TensorFlow.mp4 13.2 MB
  • 4. Building Computer Vision Applications with Python/6 - Fun with Cuts/3. Cuts in panoramic photography.mp4 13.1 MB
  • 2. Machine Learning with Python Foundations/5 - Types of Machine Learning Models/3. Common machine learning algorithms.mp4 13.1 MB
  • 6. Deep Learning Foundations Natural Language Processing with TensorFlow/0 - Introduction/1. Leveraging deep learning for natural language processing.mp4 13.0 MB
  • 6. Deep Learning Foundations Natural Language Processing with TensorFlow/3 - Classification with RNNs and LSTMs/3. Improving your movie review classifier.mp4 12.9 MB
  • 5. Training Neural Networks in Python onehack.us/4 - Training Your Network/4. Gradient descent.mp4 12.8 MB
  • 4. Building Computer Vision Applications with Python/2 - The Basics of Image Processing/1. Image representation.mp4 12.7 MB
  • 6. Deep Learning Foundations Natural Language Processing with TensorFlow/1 - Getting Started with NLP/4. Padding the sequences.mp4 12.6 MB
  • 5. Training Neural Networks in Python onehack.us/5 - Let's Make a Segment Display Classifier/5. Solution Train your own SDR neural network.mp4 12.6 MB
  • 2. Machine Learning with Python Foundations/1 - Machine Learning/2. What is not machine learning.mp4 12.5 MB
  • 4. Building Computer Vision Applications with Python/5 - Image Scaling/4. Upscaling example.mp4 12.2 MB
  • 5. Training Neural Networks in Python onehack.us/4 - Training Your Network/7. Challenge Write your own Backpropagation method.mp4 12.1 MB
  • 2. Machine Learning with Python Foundations/2 - Collecting Data for Machine Learning/1. Things to consider when collecting data.mp4 12.1 MB
  • 5. Training Neural Networks in Python onehack.us/5 - Let's Make a Segment Display Classifier/8. 7 to 7 network GUI demo.mp4 12.0 MB
  • 4. Building Computer Vision Applications with Python/7 - Morphological Modifications/2. Erosion and dilation.mp4 12.0 MB
  • 4. Building Computer Vision Applications with Python/5 - Image Scaling/2. Downscaling example.mp4 11.9 MB
  • 4. Building Computer Vision Applications with Python/4 - Filters/2. Average filters.mp4 11.9 MB
  • 2. Machine Learning with Python Foundations/4 - Preparing Data for Machine Learning/4. How to normalize data in Python.mp4 11.9 MB
  • 5. Training Neural Networks in Python onehack.us/2 - The Building Blocks of Neural Networks/4. Perceptrons A better model of a neuron.mp4 11.8 MB
  • 6. Deep Learning Foundations Natural Language Processing with TensorFlow/3 - Classification with RNNs and LSTMs/5. Solution Yelp review classifier.mp4 11.7 MB
  • 4. Building Computer Vision Applications with Python/3 - From Color to Black and White/1. Average grayscale.mp4 11.4 MB
  • 4. Building Computer Vision Applications with Python/1 - Setting Up Your Environment/2. Testing your environment.mp4 11.1 MB
  • 5. Training Neural Networks in Python onehack.us/4 - Training Your Network/3. The error function.mp4 11.0 MB
  • 4. Building Computer Vision Applications with Python/3 - From Color to Black and White/3. Converting grayscale to black and white.mp4 11.0 MB
  • 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.mp4 10.7 MB
  • 3. Full-Stack Deep Learning with Python/0 - Introduction/1. Full-stack deep learning, MLOps, and MLflow.mp4 10.4 MB
  • 2. Machine Learning with Python Foundations/4 - Preparing Data for Machine Learning/3. Normalizing your data.mp4 10.2 MB
  • 6. Deep Learning Foundations Natural Language Processing with TensorFlow/4 - Text Generation with RNNs/1. Introduction to text generation.mp4 10.1 MB
  • 5. Training Neural Networks in Python onehack.us/3 - Building Your Network/2. Writing the multilayer perceptron class.mp4 10.0 MB
  • 4. Building Computer Vision Applications with Python/2 - The Basics of Image Processing/7. Solution Manipulate some pictures.mp4 10.0 MB
  • 2. Machine Learning with Python Foundations/1 - Machine Learning/4. What is supervised learning.mp4 9.6 MB
  • 4. Building Computer Vision Applications with Python/7 - Morphological Modifications/4. Challenge Help a robot.mp4 9.5 MB
  • 4. Building Computer Vision Applications with Python/2 - The Basics of Image Processing/4. Resolution.mp4 9.2 MB
  • 6. Deep Learning Foundations Natural Language Processing with TensorFlow/1 - Getting Started with NLP/2. Introduction to word encodings.mp4 9.2 MB
  • 2. Machine Learning with Python Foundations/4 - Preparing Data for Machine Learning/5. Sampling your data.mp4 9.0 MB
  • 2. Machine Learning with Python Foundations/1 - Machine Learning/1. What is machine learning.mp4 8.9 MB
  • 4. Building Computer Vision Applications with Python/4 - Filters/1. Convolution filters.mp4 8.9 MB
  • 6. Deep Learning Foundations Natural Language Processing with TensorFlow/3 - Classification with RNNs and LSTMs/1. Introduction to RNNs.mp4 8.6 MB
  • 4. Building Computer Vision Applications with Python/4 - Filters/4. Gaussian filters.mp4 8.6 MB
  • 6. Deep Learning Foundations Natural Language Processing with TensorFlow/2 - Text Classification/1. Introduction to word embeddings.mp4 8.4 MB
  • 2. Machine Learning with Python Foundations/4 - Preparing Data for Machine Learning/1. Common data quality issues.mp4 8.4 MB
  • 2. Machine Learning with Python Foundations/3 - Understanding Data for Machine Learning/3. Visualize your data.mp4 8.3 MB
  • 4. Building Computer Vision Applications with Python/2 - The Basics of Image Processing/2. Color encoding.mp4 8.3 MB
  • 3. Full-Stack Deep Learning with Python/1 - An Overview of Full-Stack Deep Learning/1. Introducing full-stack deep learning.mp4 8.3 MB
  • 4. Building Computer Vision Applications with Python/7 - Morphological Modifications/5. Solution Help a robot.mp4 8.3 MB
  • 5. Training Neural Networks in Python onehack.us/5 - Let's Make a Segment Display Classifier/7. 7 to 10 network GUI demo.mp4 8.2 MB
  • 5. Training Neural Networks in Python onehack.us/2 - The Building Blocks of Neural Networks/1. Neurons and the brain.mp4 8.2 MB
  • 5. Training Neural Networks in Python onehack.us/1 - Choosing a Neural Network/6. Multilayer perceptrons.mp4 8.1 MB
  • 4. Building Computer Vision Applications with Python/0 - Introduction/1. Computer vision under the hood.mp4 7.7 MB
  • 4. Building Computer Vision Applications with Python/2 - The Basics of Image Processing/6. Challenge Manipulate some pictures.mp4 7.6 MB
  • 2. Machine Learning with Python Foundations/0 - Introduction/4. Using the exercise files.mp4 7.5 MB
  • 4. Building Computer Vision Applications with Python/7 - Morphological Modifications/3. Open and close.mp4 7.5 MB
  • 2. Machine Learning with Python Foundations/3 - Understanding Data for Machine Learning/1. Describe your data.mp4 7.4 MB
  • 2. Machine Learning with Python Foundations/5 - Types of Machine Learning Models/1. Classification vs. regression problems.mp4 7.4 MB
  • 5. Training Neural Networks in Python onehack.us/5 - Let's Make a Segment Display Classifier/2. Challenge Design your own SDR neural network.mp4 7.1 MB
  • 2. Machine Learning with Python Foundations/4 - Preparing Data for Machine Learning/7. Reducing the dimensionality of your data.mp4 7.1 MB
  • 5. Training Neural Networks in Python onehack.us/3 - Building Your Network/4. Solution Finish the multilayer perceptron class.mp4 7.1 MB
  • 3. Full-Stack Deep Learning with Python/1 - An Overview of Full-Stack Deep Learning/2. Introducing MLOps.mp4 7.0 MB
  • 4. Building Computer Vision Applications with Python/6 - Fun with Cuts/5. Solution Stitch two pictures together.mp4 6.7 MB
  • 3. Full-Stack Deep Learning with Python/1 - An Overview of Full-Stack Deep Learning/3. Introducing MLflow.mp4 6.7 MB
  • 2. Machine Learning with Python Foundations/1 - Machine Learning/3. What is unsupervised learning.mp4 6.6 MB
  • 4. Building Computer Vision Applications with Python/4 - Filters/7. Solution Convolution filters.mp4 6.5 MB
  • 4. Building Computer Vision Applications with Python/3 - From Color to Black and White/2. Weighted grayscale.mp4 6.5 MB
  • 4. Building Computer Vision Applications with Python/2 - The Basics of Image Processing/5. Rotations and flips.mp4 6.4 MB
  • 4. Building Computer Vision Applications with Python/5 - Image Scaling/6. Solution Resize a picture.mp4 6.4 MB
  • 5. Training Neural Networks in Python onehack.us/0 - Introduction/2. What you should know.mp4 6.2 MB
  • 6. Deep Learning Foundations Natural Language Processing with TensorFlow/2 - Text Classification/5. Challenge Text classification.mp4 5.7 MB
  • 6. Deep Learning Foundations Natural Language Processing with TensorFlow/1 - Getting Started with NLP/1. Introduction to natural language processing.mp4 5.6 MB
  • 6. Deep Learning Foundations Natural Language Processing with TensorFlow/4 - Text Generation with RNNs/3. Challenge Generate poetry.mp4 5.4 MB
  • 5. Training Neural Networks in Python onehack.us/2 - The Building Blocks of Neural Networks/8. Challenge Logic gates with perceptrons.mp4 5.3 MB
  • 6. Deep Learning Foundations Natural Language Processing with TensorFlow/1 - Getting Started with NLP/6. Solution Recognizing sarcasm in the text.mp4 5.2 MB
  • 1. AI Engineering Essentials Navigating the Tech Revolution/0 - Introduction/1. Tools for AI engineers to lead through change.mp4 5.1 MB
  • 5. Training Neural Networks in Python onehack.us/3 - Building Your Network/3. Challenge Finish the multilayer perceptron class.mp4 5.1 MB
  • 6. Deep Learning Foundations Natural Language Processing with TensorFlow/3 - Classification with RNNs and LSTMs/4. Challenge Yelp review classifier.mp4 5.1 MB
  • 4. Building Computer Vision Applications with Python/4 - Filters/6. Challenge Convolution filters.mp4 5.0 MB
  • 5. Training Neural Networks in Python onehack.us/2 - The Building Blocks of Neural Networks/5. Challenge Finish the perceptron.mp4 4.8 MB
  • 6. Deep Learning Foundations Natural Language Processing with TensorFlow/1 - Getting Started with NLP/5. Challenge Recognizing sarcasm in the text.mp4 4.7 MB
  • 4. Building Computer Vision Applications with Python/5 - Image Scaling/1. Image downscaling methods.mp4 4.4 MB
  • 4. Building Computer Vision Applications with Python/3 - From Color to Black and White/6. Solution Removing color.mp4 4.4 MB
  • 2. Machine Learning with Python Foundations/6 - Conclusion/1. Next steps with applied machine learning.mp4 4.0 MB
  • 5. Training Neural Networks in Python onehack.us/1 - Choosing a Neural Network/2. Why Python.mp4 4.0 MB
  • 4. Building Computer Vision Applications with Python/6 - Fun with Cuts/4. Challenge Stitch two pictures together.mp4 3.8 MB
  • 4. Building Computer Vision Applications with Python/5 - Image Scaling/3. Image upscaling methods.mp4 3.7 MB
  • 5. Training Neural Networks in Python onehack.us/6 - Conclusion/1. Next steps.mp4 3.3 MB
  • 4. Building Computer Vision Applications with Python/5 - Image Scaling/5. Challenge Resize a picture.mp4 3.1 MB
  • 4. Building Computer Vision Applications with Python/3 - From Color to Black and White/5. Challenge Removing color.mp4 3.0 MB
  • 2. Machine Learning with Python Foundations/0 - Introduction/1. Machine learning in our world.mp4 2.9 MB
  • 4. Building Computer Vision Applications with Python/0 - Introduction/2. What you should know.mp4 2.9 MB
  • 5. Training Neural Networks in Python onehack.us/2 - The Building Blocks of Neural Networks/9. Solution Logic gates with perceptrons.mp4 2.7 MB
  • 5. Training Neural Networks in Python onehack.us/1 - Choosing a Neural Network/1. What is a neural network.mp4 2.5 MB
  • 6. Deep Learning Foundations Natural Language Processing with TensorFlow/5 - Conclusion/1. Learning more about NLP with TensorFlow.mp4 2.2 MB
  • 5. Training Neural Networks in Python onehack.us/2 - The Building Blocks of Neural Networks/6. Solution Finish the perceptron.mp4 2.1 MB
  • 4. Building Computer Vision Applications with Python/1 - Setting Up Your Environment/1. Installing Anaconda and OpenCV.mp4 2.0 MB
  • 4. Building Computer Vision Applications with Python/8 - Conclusion/1. Next steps.mp4 1.9 MB
  • 4. Building Computer Vision Applications with Python/0 - Introduction/3. Using the exercise files.mp4 1.9 MB
  • 2. Machine Learning with Python Foundations/0 - Introduction/3. The tools you need.mp4 1.8 MB
  • 2. Machine Learning with Python Foundations/0 - Introduction/2. What you should know.mp4 1.3 MB
  • 3. Full-Stack Deep Learning with Python/0 - Introduction/2. Prerequisites.mp4 936.0 kB
  • 2. Machine Learning with Python Foundations/Ex_Files_ML_with_Python_Foundations.zip 925.4 kB
  • 6. Deep Learning Foundations Natural Language Processing with TensorFlow/Ex_Files_NLP_TensorFlow.zip 541.7 kB
  • 1. AI Engineering Essentials Navigating the Tech Revolution/2 - You’ve Got an A—Now Let’s Get Some CORN/2. Coding Contextual recipes.srt 19.8 kB
  • 1. AI Engineering Essentials Navigating the Tech Revolution/1 - Adapting to Being Both an AI Engineer and Leader/4. Coding Adaptable recipes.srt 19.3 kB
  • 6. Deep Learning Foundations Natural Language Processing with TensorFlow/2 - Text Classification/2. Classifying movie reviews using TensorFlow.srt 17.6 kB
  • 6. Deep Learning Foundations Natural Language Processing with TensorFlow/2 - Text Classification/4. Building a text classifier.srt 15.3 kB
  • 6. Deep Learning Foundations Natural Language Processing with TensorFlow/4 - Text Generation with RNNs/2. Predicting the next word.srt 14.4 kB
  • 5. Training Neural Networks in Python onehack.us/4 - Training Your Network/6. The Backpropagation algorithm.srt 14.2 kB
  • 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.srt 13.9 kB
  • 3. Full-Stack Deep Learning with Python/0 - Introduction/1. Full-stack deep learning, MLOps, and MLflow.srt 12.8 kB
  • 1. AI Engineering Essentials Navigating the Tech Revolution/3 - What's Next/2. Coding Multi-agent recipes.srt 12.7 kB
  • 6. Deep Learning Foundations Natural Language Processing with TensorFlow/1 - Getting Started with NLP/3. Tokenization using TensorFlow.srt 12.5 kB
  • 2. Machine Learning with Python Foundations/4 - Preparing Data for Machine Learning/2. How to resolve missing data in Python.srt 11.8 kB
  • 3. Full-Stack Deep Learning with Python/1 - An Overview of Full-Stack Deep Learning/1. Introducing full-stack deep learning.srt 11.6 kB
  • 6. Deep Learning Foundations Natural Language Processing with TensorFlow/3 - Classification with RNNs and LSTMs/2. Implementing LSTMs with TensorFlow.srt 11.6 kB
  • 6. Deep Learning Foundations Natural Language Processing with TensorFlow/4 - Text Generation with RNNs/4. Solution Generate poetry.srt 11.5 kB
  • 1. AI Engineering Essentials Navigating the Tech Revolution/2 - You’ve Got an A—Now Let’s Get Some CORN/6. Coding Responsible recipes.srt 11.3 kB
  • 6. Deep Learning Foundations Natural Language Processing with TensorFlow/1 - Getting Started with NLP/4. Padding the sequences.srt 11.1 kB
  • 2. Machine Learning with Python Foundations/1 - Machine Learning/5. What is reinforcement learning.srt 10.6 kB
  • 4. Building Computer Vision Applications with Python/6 - Fun with Cuts/2. Stitching two images together.srt 10.1 kB
  • 2. Machine Learning with Python Foundations/3 - Understanding Data for Machine Learning/4. How to visualize data in Python.srt 10.1 kB
  • 2. Machine Learning with Python Foundations/4 - Preparing Data for Machine Learning/6. How to sample data in Python.srt 10.1 kB
  • 5. Training Neural Networks in Python onehack.us/2 - The Building Blocks of Neural Networks/3. Activation functions.srt 10.0 kB
  • 5. Training Neural Networks in Python onehack.us/0 - Introduction/3. Using GitHub Codespaces with this course.srt 9.9 kB
  • 2. Machine Learning with Python Foundations/1 - Machine Learning/6. What are the steps to machine learning.srt 9.8 kB
  • 2. Machine Learning with Python Foundations/1 - Machine Learning/2. What is not machine learning.srt 9.8 kB
  • 5. Training Neural Networks in Python onehack.us/2 - The Building Blocks of Neural Networks/2. A simple model of a neuron.srt 9.6 kB
  • 2. Machine Learning with Python Foundations/5 - Types of Machine Learning Models/3. Common machine learning algorithms.srt 9.5 kB
  • 2. Machine Learning with Python Foundations/3 - Understanding Data for Machine Learning/2. How to summarize data in Python.srt 9.5 kB
  • 6. Deep Learning Foundations Natural Language Processing with TensorFlow/1 - Getting Started with NLP/2. Introduction to word encodings.srt 9.4 kB
  • 3. Full-Stack Deep Learning with Python/1 - An Overview of Full-Stack Deep Learning/4. Setting up the environment on Google Colab.srt 9.4 kB
  • 1. AI Engineering Essentials Navigating the Tech Revolution/2 - You’ve Got an A—Now Let’s Get Some CORN/4. Coding Observable recipes.srt 9.3 kB
  • 2. Machine Learning with Python Foundations/5 - Types of Machine Learning Models/2. How to build a machine learning model in Python.srt 8.8 kB
  • 1. AI Engineering Essentials Navigating the Tech Revolution/1 - Adapting to Being Both an AI Engineer and Leader/2. Software developer to AI engineer.srt 8.7 kB
  • 6. Deep Learning Foundations Natural Language Processing with TensorFlow/3 - Classification with RNNs and LSTMs/1. Introduction to RNNs.srt 8.6 kB
  • 4. Building Computer Vision Applications with Python/2 - The Basics of Image Processing/3. Image file management.srt 8.6 kB
  • 5. Training Neural Networks in Python onehack.us/5 - Let's Make a Segment Display Classifier/3. Solution Design your own SDR neural network.srt 8.5 kB
  • 6. Deep Learning Foundations Natural Language Processing with TensorFlow/3 - Classification with RNNs and LSTMs/3. Improving your movie review classifier.srt 8.2 kB
  • 6. Deep Learning Foundations Natural Language Processing with TensorFlow/2 - Text Classification/6. Solution Text classification.srt 8.2 kB
  • 2. Machine Learning with Python Foundations/4 - Preparing Data for Machine Learning/5. Sampling your data.srt 8.2 kB
  • 5. Training Neural Networks in Python onehack.us/4 - Training Your Network/1. The need for training.srt 8.1 kB
  • 3. Full-Stack Deep Learning with Python/1 - An Overview of Full-Stack Deep Learning/3. Introducing MLflow.srt 8.1 kB
  • 2. Machine Learning with Python Foundations/2 - Collecting Data for Machine Learning/2. How to import data in Python.srt 8.0 kB
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  • 2. Machine Learning with Python Foundations/4 - Preparing Data for Machine Learning/7. Reducing the dimensionality of your data.srt 7.0 kB
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  • 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.srt 7.0 kB
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  • 5. Training Neural Networks in Python onehack.us/4 - Training Your Network/8. Solution Write your own Backpropagation method.srt 6.9 kB
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  • 6. Deep Learning Foundations Natural Language Processing with TensorFlow/3 - Classification with RNNs and LSTMs/5. Solution Yelp review classifier.srt 6.1 kB
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  • 4. Building Computer Vision Applications with Python/7 - Morphological Modifications/5. Solution Help a robot.srt 2.0 kB
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  • 5. Training Neural Networks in Python onehack.us/2 - The Building Blocks of Neural Networks/5. Challenge Finish the perceptron.srt 2.0 kB
  • 4. Building Computer Vision Applications with Python/3 - From Color to Black and White/2. Weighted grayscale.srt 2.0 kB
  • 5. Training Neural Networks in Python onehack.us/0 - Introduction/1. Creating a neural network in Python.srt 2.0 kB
  • 4. Building Computer Vision Applications with Python/6 - Fun with Cuts/5. Solution Stitch two pictures together.srt 1.9 kB
  • 6. Deep Learning Foundations Natural Language Processing with TensorFlow/4 - Text Generation with RNNs/3. Challenge Generate poetry.srt 1.8 kB
  • 4. Building Computer Vision Applications with Python/5 - Image Scaling/6. Solution Resize a picture.srt 1.8 kB
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  • 4. Building Computer Vision Applications with Python/4 - Filters/7. Solution Convolution filters.srt 1.7 kB
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  • 5. Training Neural Networks in Python onehack.us/1 - Choosing a Neural Network/2. Why Python.srt 1.7 kB
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  • 4. Building Computer Vision Applications with Python/3 - From Color to Black and White/6. Solution Removing color.srt 1.5 kB
  • 5. Training Neural Networks in Python onehack.us/2 - The Building Blocks of Neural Networks/9. Solution Logic gates with perceptrons.srt 1.5 kB
  • 5. Training Neural Networks in Python onehack.us/6 - Conclusion/1. Next steps.srt 1.5 kB
  • 5. Training Neural Networks in Python onehack.us/2 - The Building Blocks of Neural Networks/8. Challenge Logic gates with perceptrons.srt 1.5 kB
  • 4. Building Computer Vision Applications with Python/0 - Introduction/3. Using the exercise files.srt 1.4 kB
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  • 0. Join Our Discord for More Awesome Stuff!.txt 156 Bytes
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