Mammoth Club All levels 10 sections 69 lectures

TensorFlow Innovation Hub - Build Cutting-Edge Machine Learning Models

01
Skill level
All levels
02
Sections
10
03
Lectures
69
04
Instructor
John Bura
What's inside

This course includes.

10
Sections
69
Lectures
65
Resources
Certificate of completion
Included
Mobile and desktop access
Included
AI learning assistance
Included
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Course content

Curriculum & lectures.

10 sections · 69 lectures
+ 01 Intro to Tensorflow 2 10 lectures
00 Course Intro Locked
01 Intro to Tensorflow Locked
02 Installing Tensorflow Locked
03 Intro to Linear Regression Locked
04 Linear Regression Model - Creating Dataset Locked
05 Linear Regression Model - Building the Model Locked
06 Linear Regression Model - Creating a Loss Function Locked
07 Linear Regression Model - Training the Model Locked
08 Linear Regression Model - Testing the Model Locked
09 Summary and Outro Locked
+ 02 Image Recognition with MNIST 10 lectures
00 Course Intro Locked
01 Intro To Image Recognition Locked
02 Intro To MNIST Locked
03 Building A CNN Part 1 - Obtaining Data Locked
04 Building A CNN Part 2 - Building The Model Locked
05 Building A CNN Part 3 - Adding Loss And Optimizer Functions Locked
06 Building A CNN Part 4 - Train And Test Functions Locked
07 Building A CNN Part 5 - Train And Test The Mode Locked
08 MNIST Image Recognition With Keras Sequential Model Locked
09 Summary And Outro Locked
+ 02A Machine Learning: Beginners - Build Beginner Models in TensorFlow 2.0 2 lectures
00 Course Overview Locked
01 Build Models On The Web Locked
+ 03 Machine Learning: Beginners - AI Uninformed Search Algorithms 10 lectures
00 What Are Search Algorithms Locked
01 Depth First Search Locked
02 Build A Depth First Search Algorithm Locked
03 What Is Breadth First Search (BFS) Locked
04 Build A Breadth First Search Algorithm Locked
05 Depth Limited Search Locked
06 Iterative Deepening Depth First Search Locked
07 What Is Uniform Cost Search Locked
08 Build A Uniform Cost Search Algorithm Locked
09 Bidirectional Search Locked
+ 04 Machine Learning: Beginners - AI Informed Search Algorithms 4 lectures
00 What Are Informed Search Algorithms Locked
01 What Is Greedy Best-first Search Locked
02 Build A Greedy Best First Search Algorithm Locked
03 What Is A Search Locked
+ 05 Machine Learning: Beginners - How Machine Learning Works 9 lectures
00 How Does A Machine Learning Agent Learn Locked
01 What Is Inductive Learning Locked
02 Make Decisions With Decision Trees Locked
03 Performance Of A Machine Learning Algorithm Locked
04 Handle Noise In Data Locked
05 Statistical Learning Locked
08 Train The Model Locked
09 Test The Model Locked
10 Visualize Results Locked
+ 06 Machine Learning: Beginners - Logistic Regression 11 lectures
00 What Is Logistic Regression Locked
01 How To Prepare Data Locked
02 Prepare Data For Logistic Regression Locked
03 Build A Logistic Regression Model Locked
04 How To Build A Logistic Regression Model Locked
05 What Is Optimization Locked
06 How To Optimize A Logistic Regression Model Locked
07 Optimize The Logistic Regression Model Locked
08 Train The Model Locked
09 Test The Model Locked
10 Visualize Results Locked
+ 07 Machine Learning: Beginners - Gradient Boosted Classification 7 lectures
00 What Is Gradient Boosting Locked
01 Prepare Data For Gradient Boosted Classification Locked
02 Build Binary Classes Locked
03 How To Shape Data For Classification Locked
04 Shape Data For Classification Locked
05 How To Build A Boosted Trees Classifier Locked
06 Build A Boosted Trees Classifier Locked
+ 08 Machine Learning: Beginners - Gradient Boosted Regression 3 lectures
00 Build Input Functions Locked
01 Build A Boosted Trees Regressor Locked
02 Train And Evaluate The Model Locked
+ 09 Machine Learning Intermediate - Supervised Learning Introduction 3 lectures
00 What You'll Learn Locked
01 What Is Supervised Learning Locked
02 Build Models On The Web Locked
Instructors

Taught by people who ship.

John Bura

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.

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