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Course Curriculum Section 01 What Do I Need 00:06:00 Girth Measurements 00:08:00 Muscular System 00:21:00 Application and Dedication 00:04:00 Steady State 00:01:00 Whey Protein 00:04:00 BCAA - Branch Chain Amino Acids 00:04:00 Creatine 00:03:00 Glutamine 00:03:00 Caffeine 00:12:00 Section 02 Bench Step-UPS 00:01:00 Bench Press 00:01:00 Incline Barbell Bench Press 00:01:00 Close Grip Barbell Bench Press 00:01:00 Bench Dips 00:01:00 Section 03 Dumbbell Reverse Flyes 00:01:00 Dumbbell Incline Press 00:02:00 Dumbbell Split Squats 00:01:00 Dumbbell Incline Flys 00:01:00 Dumbbell Pullover 00:02:00 One Arm Dumbbell Row 00:01:00 Section 04 Lying Leg Curl 00:01:00 Preacher Curl 00:01:00 Hammer Curls 00:01:00 Incline Biceps Curls 00:01:00 Concentration Curls 00:01:00 Section 05 Standing Calf Raises 00:01:00 Seated Calf Raise 00:01:00 Side Plank Raises 00:01:00 Hanging Knee Raise 00:01:00 Front Plate Raise 00:01:00 Seated Lateral Raises 00:01:00 Section 06 Military Press 00:01:00 Leg Press 00:01:00 Standing Shoulder Press 00:01:00 V-bar Tricep Pressdown 00:01:00 Barbell Overhead Press 00:01:00 Standing Overhead Triceps Press 00:01:00 Standing Arnold Press 00:01:00 Tricep Dips 00:01:00 One Arm Triceps Extension 00:01:00 Section 07 Walking Lunges 00:01:00 Side Lunges 00:02:00 Barbell Split Lunges 00:01:00 Forward Lunges 00:01:00 Skull Crushers 00:01:00 Cable Crunch 00:01:00 Bicycle Crunches 00:01:00 Section 08 Tbar Rows 00:01:00 Seated Row 00:01:00 Upright Rows 00:01:00 Deadlifts 00:02:00 Bend Over Barbell Bow 00:01:00 Good Mornings 00:01:00 Hip Thrusts 00:01:00 Leg Extension 00:01:00 Section 09 Pushups 00:01:00 Straight Arm Pushdown 00:01:00 Sumo Squats 00:01:00 Jump Squat 00:01:00 Front Squat 00:02:00 Pull-Ups 00:02:00 V-bar Pulldown 00:01:00 Reverse Grip Pulldowns 00:02:00 Section 10 Side Planks 00:01:00 Plank Up/Downs 00:01:00 Glute Bridge 00:02:00 Ball V-UPS 00:01:00 Sumo Deadlifts 00:02:00 Windmills 00:01:00 Face Pulls 00:01:00 Mountain Climbers 00:01:00 High Knees 00:01:00 One Legged Deadlift 00:01:00 Skaters 00:01:00 Back Hyperextensions 00:01:00 Jack knife Sit-Up 00:01:00 Jump Rope 00:01:00 Box Jumps 00:01:00 Glute Kickbacks 00:01:00 Standing Hip Adduction 00:01:00 FAQs What is a Pre-Workout Meal 00:01:00 How Long Should I Rest? 00:01:00 Busy Traveler? You Can Fit Exercise into your Trips 00:10:00 What is Active Rest? 00:02:00 Should I Drink Alcohol? 00:01:00 I See Other People Lifting Alot More Weight 00:01:00 Certificate and Transcript Order Your Certificates or Transcripts 00:00:00
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This Deep Learning & Neural Networks Python - Keras: For Dummies is suitable for anyone aspiring to start a career in Deep Learning & Neural Networks Python - Keras: For Dummies; even if you are new to this and have no prior knowledge on Deep Learning & Neural Networks Python - Keras: For Dummies, this course is going to be very easy for you to understand. And if you are already working in the Deep Learning & Neural Networks Python - Keras: For Dummies field, this course will be a great source of knowledge for you to improve your existing skills and take them to the next level. Taking this Deep Learning & Neural Networks Python - Keras: For Dummies course is a win-win for you in all aspects. This course has been developed with maximum flexibility and accessibility, making it ideal for people who don't have the time to devote to traditional education. Requirements This Deep Learning & Neural Networks Python - Keras: For Dummies course has no prerequisite. You don't need any educational qualification or experience to enrol in the Deep Learning & Neural Networks Python - Keras: For Dummies course. Do note: you must be at least 16 years old to enrol. Any internet-connected device, such as a computer, tablet, or smartphone, can access this online Deep Learning & Neural Networks Python - Keras: For Dummies course. Moreover, this course allows you to learn at your own pace while developing transferable and marketable skills. Course Curriculum Course Introduction and Table of Contents Course Introduction and Table of Contents 00:11:00 Deep Learning Overview Deep Learning Overview - Theory Session - Part 1 00:06:00 Deep Learning Overview - Theory Session - Part 2 00:07:00 Choosing Between ML or DL for the next AI project - Quick Theory Session Choosing Between ML or DL for the next AI project - Quick Theory Session 00:09:00 Preparing Your Computer Preparing Your Computer - Part 1 00:07:00 Preparing Your Computer - Part 2 00:06:00 Python Basics Python Basics - Assignment 00:09:00 Python Basics - Flow Control 00:09:00 Python Basics - Functions 00:04:00 Python Basics - Data Structures 00:12:00 Theano Library Installation and Sample Program to Test Theano Library Installation and Sample Program to Test 00:11:00 TensorFlow library Installation and Sample Program to Test TensorFlow library Installation and Sample Program to Test 00:09:00 Keras Installation and Switching Theano and TensorFlow Backends Keras Installation and Switching Theano and TensorFlow Backends 00:10:00 Explaining Multi-Layer Perceptron Concepts Explaining Multi-Layer Perceptron Concepts 00:03:00 Explaining Neural Networks Steps and Terminology Explaining Neural Networks Steps and Terminology 00:10:00 First Neural Network with Keras - Understanding Pima Indian Diabetes Dataset First Neural Network with Keras - Understanding Pima Indian Diabetes Dataset 00:07:00 Explaining Training and Evaluation Concepts Explaining Training and Evaluation Concepts 00:11:00 Pima Indian Model - Steps Explained Pima Indian Model - Steps Explained - Part 1 00:09:00 Pima Indian Model - Steps Explained - Part 2 00:07:00 Coding the Pima Indian Model Coding the Pima Indian Model - Part 1 00:11:00 Coding the Pima Indian Model - Part 2 00:09:00 Pima Indian Model - Performance Evaluation Pima Indian Model - Performance Evaluation - Automatic Verification 00:06:00 Pima Indian Model - Performance Evaluation - Manual Verification 00:08:00 Pima Indian Model - Performance Evaluation - k-fold Validation - Keras Pima Indian Model - Performance Evaluation - k-fold Validation - Keras 00:10:00 Pima Indian Model - Performance Evaluation - Hyper Parameters Pima Indian Model - Performance Evaluation - Hyper Parameters 00:12:00 Understanding Iris Flower Multi-Class Dataset Understanding Iris Flower Multi-Class Dataset 00:08:00 Developing the Iris Flower Multi-Class Model Developing the Iris Flower Multi-Class Model - Part 1 00:09:00 Developing the Iris Flower Multi-Class Model - Part 2 00:06:00 Developing the Iris Flower Multi-Class Model - Part 3 00:09:00 Understanding the Sonar Returns Dataset Understanding the Sonar Returns Dataset 00:07:00 Developing the Sonar Returns Model Developing the Sonar Returns Model 00:10:00 Sonar Performance Improvement - Data Preparation - Standardization Sonar Performance Improvement - Data Preparation - Standardization 00:15:00 Sonar Performance Improvement - Layer Tuning for Smaller Network Sonar Performance Improvement - Layer Tuning for Smaller Network 00:07:00 Sonar Performance Improvement - Layer Tuning for Larger Network Sonar Performance Improvement - Layer Tuning for Larger Network 00:06:00 Understanding the Boston Housing Regression Dataset Understanding the Boston Housing Regression Dataset 00:07:00 Developing the Boston Housing Baseline Model Developing the Boston Housing Baseline Model 00:08:00 Boston Performance Improvement by Standardization Boston Performance Improvement by Standardization 00:07:00 Boston Performance Improvement by Deeper Network Tuning Boston Performance Improvement by Deeper Network Tuning 00:05:00 Boston Performance Improvement by Wider Network Tuning Boston Performance Improvement by Wider Network Tuning 00:04:00 Save & Load the Trained Model as JSON File (Pima Indian Dataset) Save & Load the Trained Model as JSON File (Pima Indian Dataset) - Part 1 00:09:00 Save & Load the Trained Model as JSON File (Pima Indian Dataset) - Part 2 00:08:00 Save and Load Model as YAML File - Pima Indian Dataset Save and Load Model as YAML File - Pima Indian Dataset 00:05:00 Load and Predict using the Pima Indian Diabetes Model Load and Predict using the Pima Indian Diabetes Model 00:09:00 Load and Predict using the Iris Flower Multi-Class Model Load and Predict using the Iris Flower Multi-Class Model 00:08:00 Load and Predict using the Sonar Returns Model Load and Predict using the Sonar Returns Model 00:10:00 Load and Predict using the Boston Housing Regression Model Load and Predict using the Boston Housing Regression Model 00:08:00 An Introduction to Checkpointing An Introduction to Checkpointing 00:06:00 Checkpoint Neural Network Model Improvements Checkpoint Neural Network Model Improvements 00:10:00 Checkpoint Neural Network Best Model Checkpoint Neural Network Best Model 00:04:00 Loading the Saved Checkpoint Loading the Saved Checkpoint 00:05:00 Plotting Model Behavior History Plotting Model Behavior History - Introduction 00:06:00 Plotting Model Behavior History - Coding 00:08:00 Dropout Regularization - Visible Layer Dropout Regularization - Visible Layer - Part 1 00:11:00 Dropout Regularization - Visible Layer - Part 2 00:06:00 Dropout Regularization - Hidden Layer Dropout Regularization - Hidden Layer 00:06:00 Learning Rate Schedule using Ionosphere Dataset - Intro Learning Rate Schedule using Ionosphere Dataset 00:06:00 Time Based Learning Rate Schedule Time Based Learning Rate Schedule - Part 1 00:07:00 Time Based Learning Rate Schedule - Part 2 00:12:00 Drop Based Learning Rate Schedule Drop Based Learning Rate Schedule - Part 1 00:07:00 Drop Based Learning Rate Schedule - Part 2 00:08:00 Convolutional Neural Networks - Introduction Convolutional Neural Networks - Part 1 00:11:00 Convolutional Neural Networks - Part 2 00:06:00 MNIST Handwritten Digit Recognition Dataset Introduction to MNIST Handwritten Digit Recognition Dataset 00:06:00 Downloading and Testing MNIST Handwritten Digit Recognition Dataset 00:10:00 MNIST Multi-Layer Perceptron Model Development MNIST Multi-Layer Perceptron Model Development - Part 1 00:11:00 MNIST Multi-Layer Perceptron Model Development - Part 2 00:06:00 Convolutional Neural Network Model using MNIST Convolutional Neural Network Model using MNIST - Part 1 00:13:00 Convolutional Neural Network Model using MNIST - Part 2 00:12:00 Large CNN using MNIST Large CNN using MNIST 00:09:00 Load and Predict using the MNIST CNN Model Load and Predict using the MNIST CNN Model 00:14:00 Introduction to Image Augmentation using Keras Introduction to Image Augmentation using Keras 00:11:00 Augmentation using Sample Wise Standardization Augmentation using Sample Wise Standardization 00:10:00 Augmentation using Feature Wise Standardization & ZCA Whitening Augmentation using Feature Wise Standardization & ZCA Whitening 00:04:00 Augmentation using Rotation and Flipping Augmentation using Rotation and Flipping 00:04:00 Saving Augmentation Saving Augmentation 00:05:00 CIFAR-10 Object Recognition Dataset - Understanding and Loading CIFAR-10 Object Recognition Dataset - Understanding and Loading 00:12:00 Simple CNN using CIFAR-10 Dataset Simple CNN using CIFAR-10 Dataset - Part 1 00:09:00 Simple CNN using CIFAR-10 Dataset - Part 2 00:06:00 Simple CNN using CIFAR-10 Dataset - Part 3 00:08:00 Train and Save CIFAR-10 Model Train and Save CIFAR-10 Model 00:08:00 Load and Predict using CIFAR-10 CNN Model Load and Predict using CIFAR-10 CNN Model 00:16:00 RECOMENDED READINGS Recomended Readings 00:00:00
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Course Curriculum Professional Diploma in Renewable Energy - Updated Version An Introduction to Sustainable Energy 00:17:00 Solar Energy: Thermal 00:15:00 Solar Energy: Photovoltaics 00:20:00 Wind Energy 00:27:00 Bioenergy 00:26:00 Geothermal Energy 00:22:00 Tidal Energy 00:23:00 Environmental Impacts: A Global and Regional Assessment 00:24:00 Renewable Energy and Sustainable Development 00:22:00 The Future of Renewable Energy in the UK into the 2020s and Beyond 00:20:00 Professional Diploma in Renewable Energy - Old Version Renewable Energy Introduction 00:30:00 What is Renewable Energy? 00:30:00 Types of Renewable Energy 00:15:00 Solar Power 00:30:00 Wind Power 01:00:00 Hydropower 01:00:00 Biofuel 00:30:00 The Possibilities of Renewable Energy 01:00:00 Conclusion 00:15:00 Lowering Energy Cost Introduction 00:15:00 Determining The Current Costs 00:15:00 Cost over Savings Analysis 01:00:00 Getting Started By Finding Your Biggest Needs 01:00:00 Start Small For Big Savings 01:00:00 You're Window Savings 02:00:00 The Fireplace Advantage 01:00:00 Energy Saving Habits to Develop 02:00:00 The Thermostat 01:00:00 Energy Star: Understanding What It is 02:00:00 Outside the Home: Landscaping For Energy Benefits 01:00:00 Alternative Sources of Fuel 01:00:00 The Energy Efficient New Home 00:30:00 Conclusion 00:15:00 Being Environmentally Friendly Introduction 01:00:00 Energy at Home 01:00:00 Reduce the Use of Paper Products 01:00:00 Transportation 01:00:00 Lawn Care & Organic Gardening 01:00:00 Additional Tips for a Greener You! 01:00:00 Let's Recap! 01:00:00 Recycle It! 01:00:00 Renewable Energy Applications Government Incentives 01:00:00 Renewable Energy Is Key to Fighting Climate Change 01:00:00 Energy Audits 01:00:00 LEED 01:00:00 BREEAM 01:00:00 EPC 01:00:00 How to Choose Your Renewable Energy Sources 01:00:00 The Advantages and Disadvantages of Renewable Energy 01:00:00 Solar Geometry 01:00:00 Solar Chimney 00:30:00 Solar Wall 00:30:00 PV/Thermal 00:10:00 Passive Solar Heating 01:00:00 Solar Water Heaters 00:30:00 Solar Photovoltaic Technology Basics 00:30:00 Other Energy Saving Technologies 00:15:00 Underground Thermal Energy Storage (UTES) 00:15:00 Combined Heat and Power 00:15:00 Trigeneration / CCHP 00:15:00 Rainwater Harvesting 00:15:00 Fuel Cell 00:15:00 Earth Duct 00:15:00 Light Pipe 00:15:00 Conclusion 00:15:00 Recommended Reading Recommended Reading: Professional Diploma in Renewable Energy 00:00:00 Mock Exam Mock Exam- Professional Diploma in Renewable Energy 00:30:00 Final Exam Final Exam- Professional Diploma in Renewable Energy 00:30:00
Duration 2 Days 12 CPD hours Overview What's New in This Guide? Automatic Payment Reminders for open customer invoices Ability to automatically include the PO# (purchase order number) to Invoice Emails Able to combine multiple emails which allows you to attach multiple sales or purchasing documents to a single email Quickly locate a company file using the new company file search feature Smart Help is an improved search experience that includes access to live experts through messaging and call back options This course covers all features that are in QuickBooks Pro and Premier 2020 and prepares you for the QuickBooks Certified User exam. This course combines all topics in the two 1 day courses ?Get Started with QuickBooks 2021 for Windows? and ?Keep Going with QuickBooks 2021 for Windows?. First-time QuickBooks users will learn the basic features of the software. Experienced QuickBooks users will quickly learn the new features and functionality of QuickBooks 2021. Getting Started Starting QuickBooks Setting QuickBooks Preferences Components of the QuickBooks Operating Environment Using QuickBooks Help Identifying Common Business Terms Exiting QuickBooks Setting Up a Company Creating a QuickBooks Company Using the Chart of Accounts Working with Lists Creating Company Lists Working with the Customers & Jobs List Working with the Employees List Working with the Vendors List Working with the Item List Working with Other Lists Managing Lists Setting Up Inventory Entering Inventory Ordering Inventory Receiving Inventory Paying for Inventory Manually Adjusting Inventory Selling Your Product Creating Product Invoices Applying Credit to Invoices Emailing Invoices Setting Price Levels Creating Sales Receipts Invoicing for Services Setting Up a Service Item Changing the Invoice Format Creating a Service Invoice Editing an Invoice Voiding an Invoice Deleting an Invoice Entering Statement Charges Creating Billing Statements Processing Payments Displaying the Open Invoices Report Using the Income Tracker Receiving Payments for Invoices Making Deposits Handling Bounced Checks Working with Bank Accounts Writing a QuickBooks Check Voiding a QuickBooks Check Using Bank Account Registers Entering a Handwritten Check Transferring Funds Between Accounts Reconciling Checking Accounts Entering and Paying Bills Handling Expenses Using QuickBooks for Accounts Payable Using the Bill Tracker Entering Bills Paying Bills Entering Vendor Credit Memorizing Transactions Entering a New Memorized Transaction Editing a Memorized Transaction Deleting a Memorized Transaction Grouping Memorized Transactions Using a Memorized Transaction Printing the Memorized Transaction List Customizing Forms Creating a Custom Template Modifying a Template Printing Forms Using Other QuickBooks Accounts Other QuickBooks Account Types Working with Credit Card Transactions Working with Fixed Assets Working with Long-Term Liability Accounts Using the Loan Manager Creating Reports Working with QuickReports Working with Preset Reports Sharing Reports Exporting Reports to Microsoft Excel Printing Reports Creating Graphs Creating QuickInsight Graphs Using QuickZoom with Graphs Working with the Sales Graph Customizing Graphs Printing Graphs Tracking and Paying Sales Tax Using Sales Tax in QuickBooks Setting Up Tax Rates and Agencies Indicating Who and What Gets Taxed Applying Tax to Each Sale Determining What You Owe Paying Your Tax Agencies Preparing Payroll with QuickBooks Using Payroll Tracking Setting Up for Payroll Setting Up Employee Payroll Information Setting Up a Payroll Schedule Writing a Payroll Check Printing Paycheck Stubs Tracking Your Tax Liabilities Paying Payroll Taxes Preparing Payroll Tax Forms Using the EasyStep Interview Using the EasyStep Interview Using Online Banking Setting Up an Internet Connection Setting Up Bank Feeds for Accounts Viewing, Downloading, and Adding Online Transactions Creating Online Payments Transferring Funds Online Canceling Online Payments Managing Company Files Using QuickBooks in Multi-user Mode Setting Up Users and Passwords Setting a Closing Date Sharing Files with an Accountant Updating QuickBooks Backing Up and Restoring a Company File Condensing a Company File Estimating, Time Tracking, and Job Costing Creating Job Estimates Creating an Invoice from an Estimate Displaying Reports for Estimates Updating the Job Status Tracking Time Displaying Reports for Time Tracking Tracking Vehicle Mileage Displaying Vehicle Mileage Reports Displaying Other Job Reports Writing Letters Using the Letters and Envelopes Wizard Customizing Letter Templates Additional course details: Nexus Humans Get Smart With QuickBooks 2021 for Windows training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Get Smart With QuickBooks 2021 for Windows course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.
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