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Learn Java from Scratch - A Beginner's Guide - Step 23 - Java Conditionals and If Statement – Introduction
This video talks about Java conditionals and if statement – introduction.
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Learn Java from Scratch - A Beginner's Guide - Java Tip - String Concatenation
This video talks about string concatenation.
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Learn Java from Scratch - A Beginner's Guide - Step 11 - Advanced Printing Output to Console with Java
This video talks about advanced printing output to the console with Java.
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Learn Java from Scratch - A Beginner's Guide - Step 09 - Printing Output to Console with Java - Exercise Solutions
In this video, you will see the solutions for the exercises presented in the previous video, which cover printing output to the console with Java.
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Learn Java from Scratch - A Beginner's Guide - Step 02 - Exploring Primary and Qualifier Annotations for Spring Components
In this video, you will explore primary and qualifier annotations for Spring components and learn how to use them.
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Fundamentals Of Object-Oriented Programming: Java and IntelliJ - DateTime
We will look at the Java built-in API that contains classes for representing data and time, the java.util, java.time, java.sql, and java.text packages.
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Fundamentals Of Object-Oriented Programming: Java and IntelliJ - Char Data Type
In this video, we will understand the char datatype and briefly look at the string datatype. We will define several char variables in upper and lower case and numbers and integers.
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Fundamentals Of Object-Oriented Programming: Java and IntelliJ - Variables & Data Types
In this lesson, we will learn about variables and look at the various datatypes available in Java. We will create a new Java project and understand the different data types.
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Deep Learning - Crash Course 2023 - TensorFlow - Subclassing Methods
In this video, you will learn about subclassing in TensorFlow, which allows us to create custom layers and models. This clip is from the chapter "Applying Deep Learning" of the series "Deep Learning - Crash Course 2023".In this section,...
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Deep Learning - Crash Course 2023 - TensorFlow Advanced Tricks - Ways to Create Neural Networks
In this video, we will explore advanced ways to create neural networks using TensorFlow. This clip is from the chapter "Applying Deep Learning" of the series "Deep Learning - Crash Course 2023".In this section, you will learn how to...
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Deep Learning - Crash Course 2023 - ReLU, SoftMax, and Cross Entropy
In this video, you will learn about ReLU, SoftMax, and Cross Entropy. This clip is from the chapter "Applying Deep Learning" of the series "Deep Learning - Crash Course 2023".In this section, you will learn how to implement deep learning...
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Deep Learning - Crash Course 2023 - Types of Problems
In this video, we will have a look at different types of problems like multi-class classification and regression. This clip is from the chapter "Applying Deep Learning" of the series "Deep Learning - Crash Course 2023".In this section,...
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Deep Learning - Crash Course 2023 - Common Network Configuration
In this video, we will look at the common network configuration that we will be using whenever performing the common deep learning task. This clip is from the chapter "Activation Functions in Deep Learning Neural Networks" of the series...
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Deep Learning - Crash Course 2023 - Activation Functions in Deep Learning Neural Networks - Introduction
In this video, we will have a quick introduction to activation functions for deep learning neural networks. This clip is from the chapter "Activation Functions in Deep Learning Neural Networks" of the series "Deep Learning - Crash Course...
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Deep Learning - Crash Course 2023 - Training Evaluation
In this video, we will evaluate the performance of the trained neural network using various performance metrics and techniques. This clip is from the chapter "Deep Learning with TensorFlow 2.x" of the series "Deep Learning - Crash Course...
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Deep Learning - Crash Course 2023 - Challenges in Creating Deep Neural Networks from Scratch
In this video, we will discuss the challenges involved in creating deep neural networks from scratch. We will explore the common issues faced during the training process and learn how to overcome them. This clip is from the chapter...
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Deep Learning - Crash Course 2023 - Going Deep into Neural Networks
In this video, we will take a deep dive into neural networks and explore how to find the output for a deep neural network. This clip is from the chapter "Universal Approximation Theorem" of the series "Deep Learning - Crash Course...
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Deep Learning - Crash Course 2023 - Linear Separation of Data
In this video, we will write a program in Python to understand linear separation of data. This clip is from the chapter "Deep Neural Networks" of the series "Deep Learning - Crash Course 2023".In this section, we will try to understand...
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Deep Learning - Crash Course 2023 - Why Do We Require Entropy Loss
In this video, we will talk about certain events and understand why we require entropy loss. This clip is from the chapter "Basic Probability" of the series "Deep Learning - Crash Course 2023".In this section, we will talk about...
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Deep Learning - Crash Course 2023 - Why Random Variable Is Important
In this video, we will understand why a random variable is important. This clip is from the chapter "Basic Probability" of the series "Deep Learning - Crash Course 2023".In this section, we will talk about probability.
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Deep Learning - Crash Course 2023 - Class Sigmoid
In this video, we will dive into the implementation of a class for the Sigmoid activation function. You will also get an assignment to further solidify your understanding of Sigmoid. This clip is from the chapter "Sigmoid Neuron...
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Deep Learning - Crash Course 2023 - Data Standardization - 2
In this video, we will understand when and how to apply standard Scaler with data standardization. This clip is from the chapter "Sigmoid Neuron Implement with Python" of the series "Deep Learning - Crash Course 2023".In this section,...
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Deep Learning - Crash Course 2023 - Program in Python
In this video, we will build a program in Python to implement Sigmoid Neuron. This clip is from the chapter "Sigmoid Neuron" of the series "Deep Learning - Crash Course 2023".In this section, we will begin our journey with Sigmoid Neuron.
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Deep Learning - Crash Course 2023 - Gradient Descent
In this video, you will learn about gradient descent. This clip is from the chapter "Sigmoid Neuron" of the series "Deep Learning - Crash Course 2023".In this section, we will begin our journey with Sigmoid Neuron.