Torrent Info
Title [LinkedIn Learning] Become an AI Engineer - Complete 6 Courses
Category
Size 2.03GB

Files List
Please note that this page does not hosts or makes available any of the listed filenames. You cannot download any of those files from here.
0. Join Our Discord for More Awesome Stuff!.txt 156B
1. Agent to multi-agents.mp4 21.38MB
1. Agent to multi-agents.srt 5.19KB
1. AI's evolution is a lot like cooking's evolution.mp4 36.65MB
1. AI's evolution is a lot like cooking's evolution.srt 7.36KB
1. Average grayscale.mp4 10.88MB
1. Average grayscale.srt 5.04KB
1. Classification vs. regression problems.mp4 7.02MB
1. Classification vs. regression problems.srt 6.20KB
1. Closing the kitchen.mp4 18.13MB
1. Closing the kitchen.srt 3.78KB
1. Common data quality issues.mp4 7.98MB
1. Common data quality issues.srt 6.98KB
1. Computer vision under the hood.mp4 7.37MB
1. Computer vision under the hood.srt 2.10KB
1. Convolution filters.mp4 8.48MB
1. Convolution filters.srt 6.30KB
1. Creating a neural network in Python.mp4 14.05MB
1. Creating a neural network in Python.srt 1.91KB
1. Describe your data.mp4 7.06MB
1. Describe your data.srt 5.89KB
1. Embarking on the AI journey.mp4 22.37MB
1. Embarking on the AI journey.srt 5.68KB
1. Full-stack deep learning, MLOps, and MLflow.mp4 9.92MB
1. Full-stack deep learning, MLOps, and MLflow.srt 12.53KB
1. Image cuts.mp4 13.72MB
1. Image cuts.srt 5.79KB
1. Image downscaling methods.mp4 4.20MB
1. Image downscaling methods.srt 3.25KB
1. Image representation.mp4 12.07MB
1. Image representation.srt 5.79KB
1. Installing Anaconda and OpenCV.mp4 1.95MB
1. Installing Anaconda and OpenCV.srt 1.67KB
1. Introducing full-stack deep learning.mp4 7.91MB
1. Introducing full-stack deep learning.srt 11.36KB
1. Introduction to natural language processing.mp4 5.30MB
1. Introduction to natural language processing.srt 4.87KB
1. Introduction to RNNs.mp4 8.25MB
1. Introduction to RNNs.srt 8.38KB
1. Introduction to text generation.mp4 9.66MB
1. Introduction to text generation.srt 7.16KB
1. Introduction to word embeddings.mp4 8.00MB
1. Introduction to word embeddings.srt 6.61KB
1. Learning more about NLP with TensorFlow.mp4 2.10MB
1. Learning more about NLP with TensorFlow.srt 1.10KB
1. Leveraging deep learning for natural language processing.mp4 12.42MB
1. Leveraging deep learning for natural language processing.srt 2.05KB
1. Linear separability.mp4 15.25MB
1. Linear separability.srt 5.44KB
1. Machine learning in our world.mp4 2.76MB
1. Machine learning in our world.srt 1.35KB
1. Neurons and the brain.mp4 7.78MB
1. Neurons and the brain.srt 3.19KB
1. Next steps.mp4 1.82MB
1. Next steps.mp4 3.12MB
1. Next steps.srt 1.18KB
1. Next steps.srt 1.45KB
1. Next steps with applied machine learning.mp4 3.84MB
1. Next steps with applied machine learning.srt 4.29KB
1. Segment display recognition.mp4 13.72MB
1. Segment display recognition.srt 5.51KB
1. The need for training.mp4 20.25MB
1. The need for training.srt 7.90KB
1. Things to consider when collecting data.mp4 11.53MB
1. Things to consider when collecting data.srt 6.97KB
1. Tools for AI engineers to lead through change.mp4 4.89MB
1. Tools for AI engineers to lead through change.srt 1.04KB
1. What is a neural network.mp4 2.35MB
1. What is a neural network.srt 2.47KB
1. What is machine learning.mp4 8.51MB
1. What is machine learning.srt 7.25KB
1. Why modify objects.mp4 13.84MB
1. Why modify objects.srt 7.43KB
2. A simple model of a neuron.mp4 23.86MB
2. A simple model of a neuron.srt 9.37KB
2. Average filters.mp4 11.36MB
2. Average filters.srt 4.18KB
2. Challenge Design your own SDR neural network.mp4 6.81MB
2. Challenge Design your own SDR neural network.srt 2.26KB
2. Classifying movie reviews using TensorFlow.mp4 25.54MB
2. Classifying movie reviews using TensorFlow.srt 17.16KB
2. Coding Contextual recipes.mp4 38.92MB
2. Coding Contextual recipes.srt 19.36KB
2. Coding Multi-agent recipes.mp4 28.98MB
2. Coding Multi-agent recipes.srt 12.41KB
2. Color encoding.mp4 7.92MB
2. Color encoding.srt 4.23KB
2. Downscaling example.mp4 11.39MB
2. Downscaling example.srt 4.63KB
2. Erosion and dilation.mp4 11.42MB
2. Erosion and dilation.srt 5.30KB
2. How to build a machine learning model in Python.mp4 15.81MB
2. How to build a machine learning model in Python.srt 8.58KB
2. How to import data in Python.mp4 13.61MB
2. How to import data in Python.srt 7.80KB
2. How to resolve missing data in Python.mp4 21.99MB
2. How to resolve missing data in Python.srt 11.54KB
2. How to summarize data in Python.mp4 15.40MB
2. How to summarize data in Python.srt 9.24KB
2. Implementing LSTMs with TensorFlow.mp4 17.04MB
2. Implementing LSTMs with TensorFlow.srt 11.29KB
2. Introducing MLOps.mp4 6.71MB
2. Introducing MLOps.srt 7.58KB
2. Introduction to word encodings.mp4 8.73MB
2. Introduction to word encodings.srt 9.18KB
2. Predicting the next word.mp4 21.36MB
2. Predicting the next word.srt 14.04KB
2. Prerequisites.mp4 914.07KB
2. Prerequisites.srt 1.11KB
2. Software developer to AI engineer.mp4 41.29MB
2. Software developer to AI engineer.srt 8.46KB
2. Stitching two images together.mp4 44.15MB
2. Stitching two images together.srt 9.87KB
2. Testing your environment.mp4 10.56MB
2. Testing your environment.srt 5.49KB
2. The training process.mp4 15.52MB
2. The training process.srt 6.23KB
2. Weighted grayscale.mp4 6.22MB
2. Weighted grayscale.srt 1.92KB
2. What is not machine learning.mp4 11.88MB
2. What is not machine learning.srt 9.54KB
2. What you should know.mp4 1.28MB
2. What you should know.mp4 2.73MB
2. What you should know.mp4 5.88MB
2. What you should know.srt 1.46KB
2. What you should know.srt 2.13KB
2. What you should know.srt 2.33KB
2. Why Python.mp4 3.82MB
2. Why Python.srt 1.63KB
2. Writing the multilayer perceptron class.mp4 9.55MB
2. Writing the multilayer perceptron class.srt 4.24KB
3. Activation functions.mp4 27.32MB
3. Activation functions.srt 9.76KB
3. Challenge Finish the multilayer perceptron class.mp4 4.87MB
3. Challenge Finish the multilayer perceptron class.srt 2.34KB
3. Challenge Generate poetry.mp4 5.14MB
3. Challenge Generate poetry.srt 1.78KB
3. Common machine learning algorithms.mp4 12.46MB
3. Common machine learning algorithms.srt 9.26KB
3. Converting grayscale to black and white.mp4 10.45MB
3. Converting grayscale to black and white.srt 4.11KB
3. Cuts in panoramic photography.mp4 12.47MB
3. Cuts in panoramic photography.srt 4.75KB
3. Embracing failure is healthy.mp4 29.16MB
3. Embracing failure is healthy.srt 6.83KB
3. Image file management.mp4 19.14MB
3. Image file management.srt 8.38KB
3. Image upscaling methods.mp4 3.49MB
3. Image upscaling methods.srt 2.76KB
3. Improving your movie review classifier.mp4 12.32MB
3. Improving your movie review classifier.srt 8.03KB
3. Introducing MLflow.mp4 6.42MB
3. Introducing MLflow.srt 7.86KB
3. Median filters.mp4 25.41MB
3. Median filters.srt 6.87KB
3. Normalizing your data.mp4 9.72MB
3. Normalizing your data.srt 7.64KB
3. Open and close.mp4 7.14MB
3. Open and close.srt 2.77KB
3. Pairing cognition and context.mp4 37.21MB
3. Pairing cognition and context.srt 7.67KB
3. Projecting vectors using TensorFlow.mp4 23.56MB
3. Projecting vectors using TensorFlow.srt 7.66KB
3. Solution Design your own SDR neural network.mp4 23.25MB
3. Solution Design your own SDR neural network.srt 8.28KB
3. The error function.mp4 10.50MB
3. The error function.srt 4.03KB
3. The many applications of machine learning.mp4 20.02MB
3. The many applications of machine learning.srt 6.97KB
3. The tools you need.mp4 1.68MB
3. The tools you need.srt 1.99KB
3. Tokenization using TensorFlow.mp4 12.56MB
3. Tokenization using TensorFlow.srt 12.21KB
3. Using GitHub Codespaces with this course.mp4 21.57MB
3. Using GitHub Codespaces with this course.srt 9.70KB
3. Using the exercise files.mp4 1.78MB
3. Using the exercise files.srt 1.41KB
3. Visualize your data.mp4 7.95MB
3. Visualize your data.srt 6.82KB
3. What is unsupervised learning.mp4 6.33MB
3. What is unsupervised learning.srt 4.91KB
4. Adaptive thresholding.mp4 20.95MB
4. Adaptive thresholding.srt 7.17KB
4. Building a text classifier.mp4 23.43MB
4. Building a text classifier.srt 14.96KB
4. Challenge Help a robot.mp4 9.03MB
4. Challenge Help a robot.srt 3.46KB
4. Challenge Stitch two pictures together.mp4 3.61MB
4. Challenge Stitch two pictures together.srt 1.74KB
4. Challenge Train your own SDR neural network.mp4 13.88MB
4. Challenge Train your own SDR neural network.srt 5.45KB
4. Challenge Yelp review classifier.mp4 4.84MB
4. Challenge Yelp review classifier.srt 2.31KB
4. Coding Adaptable recipes.mp4 43.04MB
4. Coding Adaptable recipes.srt 18.88KB
4. Coding Observable recipes.mp4 23.26MB
4. Coding Observable recipes.srt 9.04KB
4. Gaussian filters.mp4 8.20MB
4. Gaussian filters.srt 2.89KB
4. Gradient descent.mp4 12.23MB
4. Gradient descent.srt 4.62KB
4. How to normalize data in Python.mp4 11.35MB
4. How to normalize data in Python.srt 6.54KB
4. How to visualize data in Python.mp4 15.79MB
4. How to visualize data in Python.srt 9.86KB
4. Padding the sequences.mp4 12.02MB
4. Padding the sequences.srt 10.89KB
4. Perceptrons A better model of a neuron.mp4 11.29MB
4. Perceptrons A better model of a neuron.srt 4.57KB
4. Resolution.mp4 8.77MB
4. Resolution.srt 4.49KB
4. Setting up the environment on Google Colab.mp4 12.76MB
4. Setting up the environment on Google Colab.srt 9.16KB
4. Solution Finish the multilayer perceptron class.mp4 6.76MB
4. Solution Finish the multilayer perceptron class.srt 3.25KB
4. Solution Generate poetry.mp4 19.56MB
4. Solution Generate poetry.srt 11.27KB
4. Types of classifiers.mp4 18.24MB
4. Types of classifiers.srt 7.00KB
4. Upscaling example.mp4 11.66MB
4. Upscaling example.srt 4.96KB
4. Using the exercise files.mp4 7.19MB
4. Using the exercise files.srt 2.08KB
4. What is supervised learning.mp4 9.11MB
4. What is supervised learning.srt 7.26KB
5. Challenge Finish the perceptron.mp4 4.57MB
5. Challenge Finish the perceptron.srt 1.92KB
5. Challenge Recognizing sarcasm in the text.mp4 4.51MB
5. Challenge Recognizing sarcasm in the text.srt 3.33KB
5. Challenge Removing color.mp4 2.89MB
5. Challenge Removing color.srt 1.37KB
5. Challenge Resize a picture.mp4 2.94MB
5. Challenge Resize a picture.srt 1.36KB
5. Challenge Text classification.mp4 5.46MB
5. Challenge Text classification.srt 2.36KB
5. Edge detection filters.mp4 14.19MB
5. Edge detection filters.srt 5.98KB
5. Managing AI risks.mp4 18.62MB
5. Managing AI risks.srt 5.26KB
5. Rotations and flips.mp4 6.14MB
5. Rotations and flips.srt 2.87KB
5. Running MLflow and using ngrok to access the MLflow UI.mp4 10.22MB
5. Sampling your data.mp4 8.54MB
5. Sampling your data.srt 7.96KB
5. Solution Help a robot.mp4 7.91MB
5. Solution Help a robot.srt 1.98KB
5. Solution Stitch two pictures together.mp4 6.43MB
5. Solution Stitch two pictures together.srt 1.88KB
5. Solution Train your own SDR neural network.mp4 12.02MB
5. Solution Train your own SDR neural network.srt 5.01KB
5. Solution Yelp review classifier.mp4 11.11MB
5. Solution Yelp review classifier.srt 5.95KB
5. The Delta rule.mp4 15.35MB
5. The Delta rule.srt 5.76KB
5. Types of neural networks.mp4 13.18MB
5. Types of neural networks.srt 4.35KB
5. What is reinforcement learning.mp4 12.58MB
5. What is reinforcement learning.srt 10.32KB
6. 7 to 1 network GUI demo.mp4 16.88MB
6. 7 to 1 network GUI demo.srt 6.77KB
6. Challenge Convolution filters.mp4 4.76MB
6. Challenge Convolution filters.srt 1.94KB
6. Challenge Manipulate some pictures.mp4 7.25MB
6. Challenge Manipulate some pictures.srt 3.66KB
6. Coding Responsible recipes.mp4 23.31MB
6. Coding Responsible recipes.srt 11.07KB
6. How to sample data in Python.mp4 16.73MB
6. How to sample data in Python.srt 9.82KB
6. Multilayer perceptrons.mp4 7.76MB
6. Multilayer perceptrons.srt 2.92KB
6. Solution Finish the perceptron.mp4 1.96MB
6. Solution Finish the perceptron.srt 1.05KB
6. Solution Recognizing sarcasm in the text.mp4 4.98MB
6. Solution Recognizing sarcasm in the text.srt 3.84KB
6. Solution Removing color.mp4 4.15MB
6. Solution Removing color.srt 1.46KB
6. Solution Resize a picture.mp4 6.10MB
6. Solution Resize a picture.srt 1.78KB
6. Solution Text classification.mp4 15.66MB
6. Solution Text classification.srt 7.98KB
6. The Backpropagation algorithm.mp4 40.80MB
6. The Backpropagation algorithm.srt 13.89KB
6. What are the steps to machine learning.mp4 17.55MB
6. What are the steps to machine learning.srt 9.62KB
7. 7 to 10 network GUI demo.mp4 7.85MB
7. 7 to 10 network GUI demo.srt 2.41KB
7. Challenge Write your own Backpropagation method.mp4 11.57MB
7. Challenge Write your own Backpropagation method.srt 4.93KB
7. Logic gates.mp4 13.42MB
7. Logic gates.srt 5.16KB
7. Reducing the dimensionality of your data.mp4 6.77MB
7. Reducing the dimensionality of your data.srt 6.88KB
7. Solution Convolution filters.mp4 6.22MB
7. Solution Convolution filters.srt 1.71KB
7. Solution Manipulate some pictures.mp4 9.54MB
7. Solution Manipulate some pictures.srt 3.72KB
7. Tell powerful stories.mp4 13.17MB
7. Tell powerful stories.srt 3.26KB
8. 7 to 7 network GUI demo.mp4 11.45MB
8. 7 to 7 network GUI demo.srt 4.30KB
8. Challenge Logic gates with perceptrons.mp4 5.08MB
8. Challenge Logic gates with perceptrons.srt 1.42KB
8. Coding Narrative-driven recipes.mp4 35.45MB
8. Coding Narrative-driven recipes.srt 13.59KB
8. Solution Write your own Backpropagation method.mp4 16.57MB
8. Solution Write your own Backpropagation method.srt 6.70KB
9. Solution Logic gates with perceptrons.mp4 2.55MB
9. Solution Logic gates with perceptrons.srt 1.46KB
description.html 1.15KB
description.html 1.07KB
description.html 1.13KB
description.html 1.62KB
description.html 1.16KB
Ex_Files_Computer_Vision_Deep_Dive_in_Python.zip 145.77MB
Ex_Files_ML_with_Python_Foundations.zip 903.68KB
Ex_Files_NLP_TensorFlow.zip 528.98KB
Exercises_Link.txt 109B