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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...
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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 - Data Standardization - 1
In this video, we will start working on data standardization with Sigmoid. This clip is from the chapter "Sigmoid Neuron Implement with Python" 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 - Download Dataset
In this video, you will learn how to download the UCI heart disease dataset. This clip is from the chapter "Sigmoid Neuron Implement with Python" 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 - 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 - Program Overview
In this video, we will discuss our program goal that we will be building in the next video. 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...
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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.
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Deep Learning - Crash Course 2023 - Manual Fitting of Data
In this video, you will learn how to manually fit data. 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.