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Curated Video
PyTorch in 100 Seconds
PyTorch is a deep learning framework for used to build artificial intelligence software with Python. Learn how to build a basic neural network from scratch with PyTorch 2.
Curated Video
Deep Learning - Computer Vision for Beginners Using PyTorch - Data Visualization
In this video, you will learn how to visualize your data to understand it better.
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This clip is from the chapter "CNN in PyTorch" of the series "Deep Learning - Computer Vision for Beginners Using PyTorch".In this section, you...
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This clip is from the chapter "CNN in PyTorch" of the series "Deep Learning - Computer Vision for Beginners Using PyTorch".In this section, you...
Curated Video
Deep Learning - Computer Vision for Beginners Using PyTorch - PyTorch on GPU
In this video, we will test the competition speed with GPU.
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This clip is from the chapter "Diving into PyTorch" of the series "Deep Learning - Computer Vision for Beginners Using PyTorch".In this section, we will dive into...
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This clip is from the chapter "Diving into PyTorch" of the series "Deep Learning - Computer Vision for Beginners Using PyTorch".In this section, we will dive into...
Curated Video
Deep Learning - Computer Vision for Beginners Using PyTorch - NumPy in PyTorch
In this video, you will learn how to convert a NumPy array in PyTorch.
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This clip is from the chapter "Diving into PyTorch" of the series "Deep Learning - Computer Vision for Beginners Using PyTorch".In this section, we will...
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This clip is from the chapter "Diving into PyTorch" of the series "Deep Learning - Computer Vision for Beginners Using PyTorch".In this section, we will...
Curated Video
Deep Learning - Computer Vision for Beginners Using PyTorch - Create Tensors in PyTorch
In this video, you will learn how to create Tensors in PyTorch.
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This clip is from the chapter "Diving into PyTorch" of the series "Deep Learning - Computer Vision for Beginners Using PyTorch".In this section, we will dive...
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This clip is from the chapter "Diving into PyTorch" of the series "Deep Learning - Computer Vision for Beginners Using PyTorch".In this section, we will dive...
Curated Video
Deep Learning - Computer Vision for Beginners Using PyTorch - Why Is PyTorch Powerful?
In this video, we will look at a quick demo and understand why PyTorch is powerful.
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This clip is from the chapter "Welcome Aboard" of the series "Deep Learning - Computer Vision for Beginners Using PyTorch".Welcome to the...
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This clip is from the chapter "Welcome Aboard" of the series "Deep Learning - Computer Vision for Beginners Using PyTorch".Welcome to the...
Curated Video
Deep Learning - Computer Vision for Beginners Using PyTorch - Mathematical Operations on Tensors
In this video, let's see how we can perform mathematical operations on Tensors.
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This clip is from the chapter "Diving into PyTorch" of the series "Deep Learning - Computer Vision for Beginners Using PyTorch".In this section,...
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This clip is from the chapter "Diving into PyTorch" of the series "Deep Learning - Computer Vision for Beginners Using PyTorch".In this section,...
Curated Video
Deep Learning - Computer Vision for Beginners Using PyTorch - Tensor Slicing and Reshape
In this video, you will learn how to reshape and slice a Tensor.
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This clip is from the chapter "Diving into PyTorch" of the series "Deep Learning - Computer Vision for Beginners Using PyTorch".In this section, we will dive...
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This clip is from the chapter "Diving into PyTorch" of the series "Deep Learning - Computer Vision for Beginners Using PyTorch".In this section, we will dive...
Curated Video
Predictive Analytics with TensorFlow 3.4: Data Model in TensorFlow
The data model in TensorFlow is represented by tensors. Without using complex mathematical definitions, we can say that a tensor identifies a multidimensional numerical array. • Create tensors • Define the ranks, shape and data type •...
Curated Video
Predictive Analytics with TensorFlow 3.2: TensorFlow Computational Graph
When thinking of execution of a TensorFlow program we should be familiar with a graph creation and a session execution. Basically the first one is for building the model and the second one is for feeding the data in and getting the...
Curated Video
Reinforcement Learning and Deep RL Python Theory and Projects - DNN Batch Normalization Implementation
This video explains about the implementation of batch normalization.
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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...
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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...
Curated Video
Deep Learning CNN Convolutional Neural Networks with Python - Pooling Tensors
This video talks about pooling Tensors.
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This clip is from the chapter "Deep Neural Network Architecture" of the series "Deep Learning CNN: Convolutional Neural Networks with Python".This section focuses on the deep neural...
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This clip is from the chapter "Deep Neural Network Architecture" of the series "Deep Learning CNN: Convolutional Neural Networks with Python".This section focuses on the deep neural...
Curated Video
Reinforcement Learning and Deep RL Python Theory and Projects - Automatic Differentiation PyTorch
This video explains automatic differentiation in PyTorch.
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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...
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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...
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.
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This clip is from the chapter "Deep learning: Artificial Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects)...
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This clip is from the chapter "Deep learning: Artificial Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects)...
Curated Video
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.
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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...
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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...
Curated Video
Reinforcement Learning and Deep RL Python Theory and Projects - DNN Implementation Stochastic Gradient Descent
This video explains about the implementation of stochastic gradient descent.
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This clip is from the chapter "DNN Foundation for Deep RL" of the series "Reinforcement Learning and Deep RL Python (Theory and Projects)".This...
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This clip is from the chapter "DNN Foundation for Deep RL" of the series "Reinforcement Learning and Deep RL Python (Theory and Projects)".This...
Curated Video
Reinforcement Learning and Deep RL Python Theory and Projects - Agent Class Implemented
This video explains about the implementation of the Agent class.<br<br/>/>
This clip is from the chapter "Deep RL DQN" of the series "Reinforcement Learning and Deep RL Python (Theory and Projects)".This section focuses on deep RL DQN.
This clip is from the chapter "Deep RL DQN" of the series "Reinforcement Learning and Deep RL Python (Theory and Projects)".This section focuses on deep RL DQN.
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - DNN and Deep Learning Basics: DNN Implementation Stochastic Gradient Descent
In this video, we will cover DNN implementation stochastic gradient descent.
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This clip is from the chapter "Deep learning: Artificial Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and...
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This clip is from the chapter "Deep learning: Artificial Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - DNN and Deep Learning Basics: DNN Batch Normalization Implementation
In this video, we will cover DNN batch normalization implementation.
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This clip is from the chapter "Deep learning: Artificial Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects)...
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This clip is from the chapter "Deep learning: Artificial Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects)...
Sophia Learning
Sophia: Vectors and Tensors: Lesson 3
In this lesson, students are introduced to vectors and tensors, and their significance when working with matrices. Students should be familiar with the concept of a matrix before beginning this lesson. It is 3 of 4 in the series titled...
Sophia Learning
Sophia: Vectors and Tensors: Lesson 4
In this lesson, students are introduced to vectors and tensors, and their significance when working with matrices. Students should be familiar with the concept of a matrix before beginning this lesson. It is 4 of 4 in the series titled...