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Deep Learning - Crash Course 2023 - TensorFlow - Subclassing Methods
In this video, you will learn about subclassing in TensorFlow, which allows us to create custom layers and models. This clip is from the chapter "Applying Deep Learning" of the series "Deep Learning - Crash Course 2023".In this section,...
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Deep Learning - Crash Course 2023 - Going Deep into Neural Networks
In this video, we will take a deep dive into neural networks and explore how to find the output for a deep neural network. This clip is from the chapter "Universal Approximation Theorem" of the series "Deep Learning - Crash Course...
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Deep Learning - Computer Vision for Beginners Using PyTorch - AutoGrad in PyTorch
In this video, you will learn what is AutoGrad in PyTorch. This clip is from the chapter "AutoGrad in PyTorch" of the series "Deep Learning - Computer Vision for Beginners Using PyTorch".In this section, we will have a look at AutoGrad...
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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. This clip is from the chapter "Welcome Aboard" of the series "Deep Learning - Computer Vision for Beginners Using PyTorch".Welcome to the course! This is...
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Predictive Analytics with TensorFlow 8.3: Tuning CNN Hyperparameters
In this video, we will tune the CNN hyperparameters. • Tune the CNN hyperparameters
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Data Science and Machine Learning (Theory and Projects) A to Z - Deep Neural Networks and Deep Learning Basics: Training DNN Animation
In this video, we will cover training DNN animation. 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 section, we...
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Reinforcement Learning and Deep RL Python Theory and Projects - Target Network and Recap
This video explains about the target network and recap. 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.
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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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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...
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Data Science and Machine Learning (Theory and Projects) A to Z - RNN Implementation: Automatic Differentiation
In this video, we will cover automatic differentiation. 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 section,...
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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...
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Deep Learning CNN Convolutional Neural Networks with Python - Implementation in NumPy ForwardPass
This video demonstrates the implementation in NumPy ForwardPass. This clip is from the chapter "Gradient Descent in CNNs" of the series "Deep Learning CNN: Convolutional Neural Networks with Python".This section focuses on gradient...
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Deep Learning CNN Convolutional Neural Networks with Python - Implementation in NumPy BackwardPass 5
This is fifth of the five-part video on implementation in NumPy BackwardPass. This clip is from the chapter "Gradient Descent in CNNs" of the series "Deep Learning CNN: Convolutional Neural Networks with Python".This section focuses on...
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Deep Learning CNN Convolutional Neural Networks with Python - Implementation in NumPy BackwardPass 1
This is first of the five-part video on implementation in NumPy BackwardPass. This clip is from the chapter "Gradient Descent in CNNs" of the series "Deep Learning CNN: Convolutional Neural Networks with Python".This section focuses on...
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Deep Learning - Deep Neural Network for Beginners Using Python - Chain Rule for Backpropagation
In this video, you will learn about the chain rule for backpropagation. 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...
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Data Science and Machine Learning (Theory and Projects) A to Z - RNN Implementation: Language Modelling Next Word Prediction Python 2
In this video, we will cover language modelling next word prediction Python 2. 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...
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Data Science and Machine Learning (Theory and Projects) A to Z - RNN Architecture: ManyToMany Different Sizes Model
In this video, we will cover ManyToMany different sizes model. 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...
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Data Science and Machine Learning (Theory and Projects) A to Z - Gradient Descent in RNN: Loss Function
In this video, we will cover loss function. 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 section, we will...
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Data Science and Machine Learning (Theory and Projects) A to Z - Gradient Descent in RNN: Introduction to Gradient Descent Module
In this video, we will cover an introduction to gradient descent module. 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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Data Science and Machine Learning (Theory and Projects) A to Z - Gradient Descent in CNNs: Implementation in NumPy ForwardPass.mp4.
In this video, we will cover implementation in NumPy ForwardPass.mp4. This clip is from the chapter "Deep learning: Convolutional Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to...
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Data Science and Machine Learning (Theory and Projects) A to Z - Gradient Descent in CNNs: Implementation in NumPy BackwardPass 5
In this video, we will cover implementation in NumPy BackwardPass 5. This clip is from the chapter "Deep learning: Convolutional Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to...
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Data Science and Machine Learning (Theory and Projects) A to Z - Gradient Descent in CNNs: Implementation in NumPy BackwardPass 1
In this video, we will cover implementation in NumPy BackwardPass 1. This clip is from the chapter "Deep learning: Convolutional Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to...
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Data Science and Machine Learning (Theory and Projects) A to Z - Sentiment Classification using RNN: RNN Setup 2
In this video, we will cover RNN setup 2. 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 section, we will cover...