Advanced Neural Networks with TensorFlow.js
Exploring Advanced Neural Network Architectures with TensorFlow.js
Created by John Bura
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Skill level
All levels
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Sections
9
03
Lectures
43
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Instructor
John Bura
What's inside
This course includes.
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9
Sections
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43
Lectures
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43
Resources
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Certificate of completion
Included
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Mobile and desktop access
Included
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AI learning assistance
Included
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Course content
Curriculum & lectures.
+ Default Lesson 3 lectures
01c TensorFlow JS Fundamentals
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01c-02 What is TensorFlow JS
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01c-03 Load TensorFlow Object
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+ 01d Build Your First Tensors 4 lectures
01d Build Your First Tensors
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01d-01 Build Tensors
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01d-02 Tensor Utility Methods
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01d-03 Perform Math with Tensors
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+ 01e What is a Neural Network 2 lectures
01e What is a Neural Network
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01e-00B What is a Neural Network
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+ 02 Build a Neural Network with One Hot Encoding 5 lectures
02 Build a Neural Network with One Hot Encoding
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02-01 Build Training Data
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02-02 Build the Neural Network
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02-03 Train the Neural Network
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02-04 Make a Prediction
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+ 03 Build a Neural Network to Detect Lines in Images 4 lectures
03 Build a Neural Network to Detect Lines in Images
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03-02 Build the Convolutional Neural Network
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03-03 Train the Convolutional Neural Network
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03-04 Make a Prediction of Number of Lines
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+ 04 Build an LSTM Recurrent Neural Network 5 lectures
04 Build an LSTM Recurrent Neural Network
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04-01 Generate Sequence and Label
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04-02 Generate Dataset
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04-03 Build the LSTM Model
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04-04 Train the Model
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+ 05 Build a Model to Classify Iris Species 7 lectures
05 Build a Model to Classify Iris Species
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05-02 Convert Data to Tensors
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05-03 Separate Training and Testing Data
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05-04 Create Training and Testing Datasets
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05-05 Build the Model
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05-06 Train the Model
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05-07 Make a Prediction
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+ 06 Build a Positive vs Negative Text Classifier 3 lectures
06-01 Load Model and Dataset
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06-02 Get User Input for Sentiment Analysis
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06-03 Make a Prediction'
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+ 07 Build a Neural Network to Recognize Handwriting 10 lectures
07-00 What is a Convolutional Neural Network
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07-01 Set Up Canvas to Load Image Data
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07-02 Load Mnist Dataset
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07-03 Separate Training and Testing Data
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07-04 Build the Model
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07-04A What are the Network's Layer
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07-05 Train the Model
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07-06 Create Training Batches
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07-07 Create Testing Batches
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07-08 Fit Neural Network Through Data
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Description
About this course.
Course Title: "Advanced Neural Networks with TensorFlow.js"
Course Description:
Delve into the intricacies of neural networks and unlock the potential of TensorFlow.js with our advanced course, "Advanced Neural Networks with TensorFlow.js." Designed for practitioners and enthusiasts with a solid understanding of neural networks and TensorFlow.js fundamentals, this program explores advanced concepts and practical applications in the realm of deep learning.
Throughout the course, participants will engage in hands-on coding exercises, real-world projects, and collaborative activities. By the end of the program, learners will have mastered advanced neural network concepts with TensorFlow.js and be equipped to tackle sophisticated challenges in deep learning.
Join us in "Advanced Neural Networks with TensorFlow.js" and advance your expertise in neural network development, paving the way for innovative applications in image recognition, sentiment analysis, and more.
Instructors
Taught by people who ship.
John Bura
Founder and CEO of Mammoth Club and Course Pro, the #1 AI-powered Learning Management System for course and content development, training and evaluation.
Ready to start building?
Exploring Advanced Neural Network Architectures with TensorFlow.js