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Chatbots Development with Amazon Lex - Instructor Introduction
In this video, we will quickly know the instructor/author of the course and look at his qualifications and experience in delivering the course in this online mode.
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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 - Regression Problem
In this video, you will learn how to solve a regression problem using the Boston housing dataset. This clip is from the chapter "Applying Deep Learning" of the series "Deep Learning - Crash Course 2023".In this section, you will learn...
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Deep Learning - Crash Course 2023 - Implementing Multi-Class Classification Using Keras
In this video, you will learn how to implement the multi-class classification model using Keras. This clip is from the chapter "Applying Deep Learning" of the series "Deep Learning - Crash Course 2023".In this section, you will learn how...
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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 - 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...