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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 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...
Curated Video
Reinforcement Learning and Deep RL Python Theory and Projects - DNN Implementation Minibatch Gradient Descent
This video explains about the implementation of minibatch gradient descent. This clip is from the chapter "DNN Foundation for Deep RL" of the series "Reinforcement Learning and Deep RL Python (Theory and Projects)".This section focuses...
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Reinforcement Learning and Deep RL Python Theory and Projects - Automatic Differentiation PyTorch
This video explains automatic differentiation in PyTorch. This clip is from the chapter "DNN Foundation for Deep RL" of the series "Reinforcement Learning and Deep RL Python (Theory and Projects)".This section focuses on the DNN...
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Fundamentals of Neural Networks - Linear Regression
This video explains statistical machine learning, where you will start with the linear regression model. This clip is from the chapter "Artificial Neural Networks" of the series "Fundamentals in Neural Networks".This section explains...
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Data Science and Machine Learning (Theory and Projects) A to Z - RNN Implementation: Automatic Differentiation PyTorch
In this video, we will cover automatic differentiation PyTorch. This clip is from the chapter "Deep learning: Recurrent Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Feature Engineering: Feature Scaling
In this video, we will cover feature scaling. This clip is from the chapter "Machine Learning: Feature Engineering and Dimensionality Reduction with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - DNN and Deep Learning Basics: Automatic Differentiation PyTorch New
In this video, we will cover automatic differentiation PyTorch New. This clip is from the chapter "Deep learning: Artificial Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Deep Neural Networks and Deep Learning Basics: Weight Initialization
In this video, we will cover weight initialization.
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - OPTIONAL Section- Mathematics Wrap-Up: Mathematical Wrap-Up on Machine Learning
In this video, we will cover mathematical wrap-up on machine learning. This clip is from the chapter "Machine Learning: Machine Learning Crash Course" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Introduction to Courses and Instructor
In this video, we will take a quick introduction to courses and instructor. This clip is from the chapter "Introduction to the Course" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this section, we...
Curated Video
Deep Learning with Python (Video 3)
Deep learning is currently one of the best providers of solutions regarding problems in image recognition, speech recognition, object recognition, and natural language with its increasing number of libraries that are available in Python....
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Python for Deep Learning - Build Neural Networks in Python - What is the Activation Function?
In this video, we will understand what the Activation function is. 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...
Curated Video
Python for Deep Learning - Build Neural Networks in Python - What is Stochastic Gradient Descent?
In this video, we will understand what is Stochastic Gradient Descent? 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...
Curated Video
Python for Deep Learning - Build Neural Networks in Python - The Sigmoid Function
In this video, you will learn about the Sigmoid 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.
Curated Video
Python for Deep Learning - Build Neural Networks in Python - Single Layer Perceptron (SLP) Model
In this video, you will learn about the Single-layer perceptron (SLP) model. 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...