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Python for Deep Learning - Build Neural Networks in Python - Adding the Next Hidden Layer
In this video, you will learn how to add the next hidden layer. This clip is from the chapter "Implementation of ANN in Python" of the series "Python for Deep Learning — Build Neural Networks in Python".In this section, you will learn...
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Deep Learning CNN Convolutional Neural Networks with Python - Introduction to Instructor
This video provides an introduction to the author/instructor of the course. This clip is from the chapter "Introduction to the Course" of the series "Deep Learning CNN: Convolutional Neural Networks with Python".This section provides an...
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Python for Deep Learning - Build Neural Networks in Python - What is Gradient Descent?
In this video, we will understand what Gradient Descent is. This clip is from the chapter "Gradient Descent Algorithm" of the series "Python for Deep Learning — Build Neural Networks in Python".In this section, we will cover Gradient...
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Python for Deep Learning - Build Neural Networks in Python - SoftMax Function
In this video, you will learn about the SoftMax function. This clip is from the chapter "Activation Functions" of the series "Python for Deep Learning — Build Neural Networks in Python".In this section, we will cover Activation functions.
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Python for Deep Learning - Build Neural Networks in Python - Section Introduction
In this video, we will have a quick introduction to this section. This clip is from the chapter "Artificial Neural Networks (ANN)" of the series "Python for Deep Learning — Build Neural Networks in Python".In this section, we will...
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Python for Deep Learning - Build Neural Networks in Python - Predicting the Test Set Results
In this video, you will learn how to predict the test set results. This clip is from the chapter "Implementation of ANN in Python" of the series "Python for Deep Learning — Build Neural Networks in Python".In this section, you will...
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Python for Deep Learning - Build Neural Networks in Python - One-hot encoding using scikit-learn
In this video, we will learn how to work with One-hot encoding using scikit-learn. This clip is from the chapter "Implementation of ANN in Python" of the series "Python for Deep Learning — Build Neural Networks in Python".In this...
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Python for Deep Learning - Build Neural Networks in Python - Multi-Layer Perceptron (MLP) Neural Network
In this video, you will learn about multi-layer perceptron (MLP) Neural Network. This clip is from the chapter "Neural Network Architectures" of the series "Python for Deep Learning — Build Neural Networks in Python".In this section,...
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Python for Deep Learning - Build Neural Networks in Python - Long Short-Term Memory (LSTM) Networks
In this video, you will learn about Long Short-Term Memory (LSTM) networks. This clip is from the chapter "Neural Network Architectures" of the series "Python for Deep Learning — Build Neural Networks in Python".In this section, we...
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Python for Deep Learning - Build Neural Networks in Python - Introduction - Convolutional Neural Networks (CNN)
In this video, we will have a quick Introduction to the learning goals for this section. This clip is from the chapter "Convolutional Neural Networks (CNN)" of the series "Python for Deep Learning — Build Neural Networks in Python".In...
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Python for Deep Learning - Build Neural Networks in Python - Importing Libraries
In this video, you will learn how to import libraries. This clip is from the chapter "Implementation of CNN in Python" of the series "Python for Deep Learning — Build Neural Networks in Python".In this section, you will learn how to...
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Python for Deep Learning - Build Neural Networks in Python - How do Artificial Neural Networks Work?
In this video, we will understand how artificial neural networks work. This clip is from the chapter "Summary - Overview of Neural Networks" of the series "Python for Deep Learning — Build Neural Networks in Python".In this section, we...
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Python for Deep Learning - Build Neural Networks in Python - Fitting the ANN Model to the Training Set
In this video, you will learn how to fit the ANN model into the training set. This clip is from the chapter "Implementation of ANN in Python" of the series "Python for Deep Learning — Build Neural Networks in Python".In this section,...
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Python for Deep Learning - Build Neural Networks in Python - Disadvantages of Neural Networks
In this video, you will learn about the disadvantages of neural networks. This clip is from the chapter "Summary - Overview of Neural Networks" of the series "Python for Deep Learning — Build Neural Networks in Python".In this section,...
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Python In Practice - 15 Projects to Master Python - What to Display When the Cart Is Empty?
This video explains what to display when the cart is empty. This clip is from the chapter "eBook Web Store" of the series "Python in Practice - 15 Projects to Master Python".This section focuses on the eBook web store.
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Python In Practice - 15 Projects to Master Python - What Is Artificial Intelligence?
This video explains Artificial Intelligence.
This clip is from the chapter "Artificial Intelligence" of the series "Python in Practice - 15 Projects to Master Python".This section focuses on Artificial Intelligence.
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Python In Practice - 15 Projects to Master Python - Use of else and finally Blocks
This video explains the use of else and finally blocks. This clip is from the chapter "Dealing with Errors" of the series "Python in Practice - 15 Projects to Master Python".This section focuses on dealing with errors.
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Python In Practice - 15 Projects to Master Python - Training the Model
This video explains training the model. This clip is from the chapter "Flavor Predictor" of the series "Python in Practice - 15 Projects to Master Python".This section focuses on the flavor predictor.
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Python In Practice - 15 Projects to Master Python - String Built-In Functions
This video explains the string built-in functions, how to use these functions, and string operations. This clip is from the chapter "Text Data Types" of the series "Python in Practice - 15 Projects to Master Python".This section focuses...
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Python In Practice - 15 Projects to Master Python - Slicing Columns, Rows, and Values from Pandas DataFrames
This video explains slicing columns, rows, and values from Pandas DataFrames. This clip is from the chapter "Advanced Level: Data Science" of the series "Python in Practice - 15 Projects to Master Python".This section focuses on the...
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Python In Practice - 15 Projects to Master Python - random Module
This video explains the random module. This clip is from the chapter "Modules and Packages" of the series "Python in Practice - 15 Projects to Master Python".This section focuses on the Modules and Packages.
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Python In Practice - 15 Projects to Master Python - Python Strings
This video explains the strings, how to create strings, and how to use the “\†escape character. You will learn about the backlash “\†codes, how to create multi-line strings, and concatenation. This clip is from the chapter "Text...
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Python In Practice - 15 Projects to Master Python - Python Lists
This video explains Python lists, how to create lists, lists properties, list elements, how to extract a list element, and how to extract a sub-list. This clip is from the chapter "Lists" of the series "Python in Practice - 15 Projects...
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Python In Practice - 15 Projects to Master Python - Python Dictionaries
This video explains dictionaries, key-value pairs, how to create dictionaries, how to create dictionaries with tuples as keys, accessing key-value pairs, accessing values in a dictionary, and accessing keys in a dictionary. This clip is...