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Deep Learning - Crash Course 2023 - Keras Basics
In this video, we will revisit the code and understand some Keras basics. Additionally, you will find a deep learning neural networks assignment in the code bundle. This clip is from the chapter "Applying Deep Learning" of the series...
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Deep Learning - Crash Course 2023 - Moving from Shallow Learning to Deep Learning
In this video, we will be introduced to shallow learning. 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 on common...
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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 - Various Activation Functions
In this video, we will have an in-depth look at different activation functions provided in the TensorFlow library using Google Colab. 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 - Summary-2
In this video, we will summarize the key concepts covered in the section and prepare for the next section of the course. 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 - 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 - Training the Neural Network
In this video, you will learn about training the neural network by selecting the right hyperparameters, choosing the right optimization algorithm, and evaluating the performance of the model. This clip is from the chapter "Deep Learning...
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Deep Learning - Crash Course 2023 - Create First Neural Network with TensorFlow
In this video, we will create our first neural network using TensorFlow, and also understand the various steps involved in creating the neural network. This clip is from the chapter "Deep Learning with TensorFlow 2.x" of the series "Deep...
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Deep Learning - Crash Course 2023 - Building a Neural Network with TensorFlow
In this video, we will start building a neural network with TensorFlow by defining the layers, activation functions, and optimization techniques. This clip is from the chapter "Deep Learning with TensorFlow 2.x" of the series "Deep...
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Deep Learning - Crash Course 2023 - Introducing TensorFlow
In this video, we will be introduced to TensorFlow. This clip is from the chapter "Deep Learning with TensorFlow 2.x" of the series "Deep Learning - Crash Course 2023".In this section, we will dive into deep learning with TensorFlow 2.x.
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Deep Learning - Crash Course 2023 - Quick Recap on Deep Learning
In this video, we will have a quick recap on what we have learned about deep learning so far. This clip is from the chapter "Deep Learning with TensorFlow 2.x" of the series "Deep Learning - Crash Course 2023".In this section, we will...
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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 - Confirming Universal Approximation Theorem Works
In this video, we will confirm the effectiveness of the Universal Approximation Theorem by implementing it on a practical problem. This clip is from the chapter "Universal Approximation Theorem" of the series "Deep Learning - Crash...
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Deep Learning - Crash Course 2023 - Understanding Universal Approximation Theorem
In this video, we will introduce the concept of Universal Approximation Theorem in deep learning. We will discuss what this theorem means, how it works, and its importance in the field of neural networks. This clip is from the chapter...
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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 Deep Neural Networks
In this video, we will understand why deep neural networks. 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 deep neural networks.
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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 - Probability Distribution Table
In this video, you will learn about the probability distribution table. 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 - Random Variable - Types
In this video, you will learn about different types of random variables. 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 - 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 - Introduction to Probability and Random Variables
In this video, we will be introduced to probability and random variables. 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...