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Data Science and Machine Learning (Theory and Projects) A to Z - Overfitting, Underfitting and Generalization: Cross-validation
In this video, we will cover cross-validation. 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 section, we will cover...
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Deep Learning - Deep Neural Network for Beginners Using Python - Visualization and Results
In this video, we will work on visualization and results. This clip is from the chapter "Deep Learning" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".In this section, we will dive deeper into deep learning.
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Deep Learning - Deep Neural Network for Beginners Using Python - Maximum Likelihood Part 2
In this video, we will build a relation between error and probability. This clip is from the chapter "Basics of Deep Learning" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".In this section, we will cover...
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No-Code Machine Learning Using Amazon AWS SageMaker Canvas - Versioning
In this video, we will cover versioning. This clip is from the chapter "Other Important Features in SageMaker Canvas" of the series "No-Code Machine Learning Using Amazon AWS SageMaker Canvas".In this section, you will learn some other...
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Python for Machine Learning - The Complete Beginners Course - Implementation 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 "Multiple Linear Regression" of the series "Python for Machine Learning - The Complete Beginner's Course".In this section, we will cover...
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Practical Data Science using Python - Naive Bayes - Model Building and Optimization
This video explains Naive Bayes - model building and optimization. This clip is from the chapter "Naive Bayes Probability Model" of the series "Practical Data Science Using Python".This section explains Naive Bayes probability model –...
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Deep Learning CNN Convolutional Neural Networks with Python - Hand Engineering Versus CNNs
This video demonstrates hand engineering versus CNNs. This clip is from the chapter "Object Detection" of the series "Deep Learning CNN: Convolutional Neural Networks with Python".This section focuses on the methods of object detection.
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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 - 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,...
Packt
Fundamentals of Neural Networks - Lab 3 - Deep CNN
This video demonstrates a deeper CNN, where you will build a much bigger number of trainable parameters. This clip is from the chapter "Convolutional Neural Networks" of the series "Fundamentals in Neural Networks".This section explains...
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Deep Learning - Deep Neural Network for Beginners Using Python - Maximum Likelihood Part 1
In this video, you will learn about maximum likelihood with the help of an example. This clip is from the chapter "Basics of Deep Learning" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".In this section,...
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Deep Learning - Deep Neural Network for Beginners Using Python - Final Project Part 5
In this final part, we will test our model. This clip is from the chapter "Final Project" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".In this last section, we will be working on our final project in...
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Data Science and Machine Learning (Theory and Projects) A to Z - Machine Learning Model Performance Metrics: The Accuracy
In this video, we will cover accuracy. 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 section, we will cover machine...
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Practical Data Science using Python - Decision Tree - Model Optimization using Grid Search Cross Validation
This video explains decision tree - model optimization using grid search cross validation. This clip is from the chapter "Classification using decision trees" of the series "Practical Data Science Using Python".This section explains...
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Reinforcement Learning and Deep RL Python Theory and Projects - DNN PyTorch CIFAR10 Example
This video talks about the example of DNN PyTorch CIFAR10. 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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Reinforcement Learning and Deep RL Python Theory and Projects - Tips for Accuracy Improvement
This video demonstrates tips for accuracy improvement. This clip is from the chapter "Stable Baselines Cartpole Solution" of the series "Reinforcement Learning and Deep RL Python (Theory and Projects)".This section focuses on the Stable...
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Python for Machine Learning - The Complete Beginners Course - Implementation in Python: Results Prediction and Accuracy
In this video, you will learn about results prediction and accuracy. This clip is from the chapter "Classification Algorithms: Decision Tree" of the series "Python for Machine Learning - The Complete Beginner's Course".In this section,...
Packt
Fundamentals of Neural Networks - Residual Network
Deeper neural networks are more difficult to train. We present a residual learning framework to ease the training of networks that are substantially deeper than those used previously. This clip is from the chapter "Convolutional Neural...
Packt
Fundamentals of Neural Networks - Lab 3 - Introduction to Neural Network
This video demonstrates how to use Keras TensorFlow as API to essentially design and craft the neural network architecture. This clip is from the chapter "Artificial Neural Networks" of the series "Fundamentals in Neural Networks".This...
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Deep Learning - Deep Neural Network for Beginners Using Python - Testing (NN Implementation)
In this video, you will learn how to test our neural network. This clip is from the chapter "Deep Learning" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".In this section, we will dive deeper into deep...
Curated Video
Deep Learning - Deep Neural Network for Beginners Using Python - Final Project Part 4
In this part, we will work on predict, accuracy, and neural network functions. This clip is from the chapter "Final Project" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".In this last section, we will be...
Curated Video
Fundamentals of Machine Learning - CNN
This video continues the lab from neural networks and will have a look at convolutional neural networks. This clip is from the chapter "Labs" of the series "Fundamentals of Machine Learning".This section explains the various lab...
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Data Science and Machine Learning (Theory and Projects) A to Z - DNN and Deep Learning Basics: DNN PyTorch CIFAR10 Example
In this video, we will cover DNN PyTorch CIFAR10 example. 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 this...