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Deep Learning - Crash Course 2023 - Visualize the Accuracy with Epochs
In this video, you will learn how to use graphs to visualize the accuracy of your deep learning model with increasing epochs. You will also be given an assignment to test your understanding. This clip is from the chapter "Perceptron in...
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Deep Learning - Crash Course 2023 - Perceptron in Python
In this video, we will work on programming our Perceptron model in Python. This clip is from the chapter "Perceptron in Python" of the series "Deep Learning - Crash Course 2023".In this section, you will learn about Perceptron in Python.
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Deep Learning - Crash Course 2023 - Why Update Rule Works
In this video, we will understand how update rule works. This clip is from the chapter "Perceptron" of the series "Deep Learning - Crash Course 2023".In this section, you will learn about Perceptron.
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Deep Learning - Crash Course 2023 - Loss Function and Parameter Update
In this video, you will learn about the loss function and parameter update. This clip is from the chapter "Perceptron" of the series "Deep Learning - Crash Course 2023".In this section, you will learn about Perceptron.
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Deep Learning - Crash Course 2023 - Perceptron Model and Its Representation
In this video, you will learn more about the Perceptron model and understand its representation. This clip is from the chapter "Perceptron" of the series "Deep Learning - Crash Course 2023".In this section, you will learn about Perceptron.
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Deep Learning - Crash Course 2023 - MP Neuron - Data Import
In this video, you will learn how to import the Breast Cancer Wisconsin Diagnostic dataset and perform some basic analysis. This clip is from the chapter "MP Neuron in Python" of the series "Deep Learning - Crash Course 2023".In this...
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Deep Learning - Crash Course 2023 - Mathematical Intuition
In this video, you will learn how to build a mathematical intuition on MP Neuron. This clip is from the chapter "MP Neuron Model" of the series "Deep Learning - Crash Course 2023".In this section, you will learn how to build neural...
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Deep Learning - Crash Course 2023 - MP Neuron Introduction
In this video, you will learn about the MP Neuron model, also called McCulloch Pitts model. This clip is from the chapter "MP Neuron Model" of the series "Deep Learning - Crash Course 2023".In this section, you will learn how to build...
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Deep Learning - Crash Course 2023 - NumPy Part 2
In this video, you will learn what is broadcasting in NumPy. This clip is from the chapter "Python for Data Science - Crash Course" of the series "Deep Learning - Crash Course 2023".In this section, we will have a quick refresher on...
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Deep Learning - Crash Course 2023 - Loss Functions
In this video, you will learn about loss functions. This clip is from the chapter "Getting the Basics Right" of the series "Deep Learning - Crash Course 2023".In this section, you will learn some basic terms used in deep learning.
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Deep Learning - Crash Course 2023 - Sigmoid Intuition
In this video, you will learn about Sigmoid intuition. 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 - Perceptron Limitations
In this video, we will have a quick recap of Perceptron limitations and learn how Sigmoid Neuron is useful. This clip is from the chapter "Sigmoid Neuron" of the series "Deep Learning - Crash Course 2023".In this section, we will begin...
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Deep Learning - Crash Course 2023 - Update Rule in Programs
In this video, you will learn about the parameter Update Rule that we will be using in our programs. This clip is from the chapter "Perceptron" of the series "Deep Learning - Crash Course 2023".In this section, you will learn about...
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Deep Learning - Crash Course 2023 - MP Neuron Class
In this video, we will walk through the process of creating our own MP Neuron class in Python from scratch. By the end of this section, you will have a solid understanding of how to implement this fundamental concept in deep learning....
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Deep Learning - Crash Course 2023 - Modify Data
In this video, you will learn how to modify data. This clip is from the chapter "MP Neuron in Python" of the series "Deep Learning - Crash Course 2023".In this section, you will learn how to implement MP Neuron in Python.
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Deep Learning - Crash Course 2023 - Contour Plots
In this video, you will learn how to create Contour plots. This clip is from the chapter "Python for Data Science - Crash Course" of the series "Deep Learning - Crash Course 2023".In this section, we will have a quick refresher on...
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Deep Learning - Crash Course 2023 - NumPy Part 1
In this video, you will learn about arrays in NumPy. This clip is from the chapter "Python for Data Science - Crash Course" of the series "Deep Learning - Crash Course 2023".In this section, we will have a quick refresher on different...
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Deep Learning - Crash Course 2023 - Control Statements Python if…else
In this video, we will explain the control statements in Python like if…else statements. This clip is from the chapter "Python Crash Course on Basics" of the series "Deep Learning - Crash Course 2023".In this section, we will work on our...
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Deep Learning - Crash Course 2023 - Python Basics - Containers in Python
In this video, you will learn about tuples, sets, and dictionaries. This clip is from the chapter "Python Crash Course on Basics" of the series "Deep Learning - Crash Course 2023".In this section, we will work on our foundation of Python...
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Advanced Chatbots with Deep Learning and Python - Predictions
After checking our model for accuracy, we will make predictions of our results from the model we created. We will visualize the predictions using the test data.
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Advanced Chatbots with Deep Learning and Python - Answer and Response
After learning to create our encoders for the input sequences and the questions, the encoders will match the data and obtain the responses.
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Advanced Chatbots with Deep Learning and Python - Encoding
We will begin to develop our deep learning model and input placeholders to store the maximum story length, question length, and define the vocabulary size. We will now build our encoder using the sequential model.
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Advanced Chatbots with Deep Learning and Python - Vectorize Stories
In this video, we will understand how to vectorize the story by defining functions, using the data, and developing an index and tokenizer. We will also determine the maximum story length calculated.
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Advanced Chatbots with Deep Learning and Python - Separation and Sequence
In this video, you will learn to make the train-test story questions and answers. We will then use a for loop to enter the story, question, and answer into the respective parts.