Deep Q-Network Solves Cart and Pole – Reinforcement Learning Code Project
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Frank
- March 28, 2022
- agent environment
- AI
- AlphaGo
- artificial intelligence
- artificial neural network
- Bellman equation
- CNN
- Deep Learning
- Deep Q-network
- DQN
- Education
- experience replay
- Machine Learning
- markov decision process
- MDP
- Neural Network
- OpenAI Five
- OpenAI Gym
- policy gradients
- policy network
- Python
- PyTorch
- Q-learning
- Q-value
- Reinforcement Learning
- replay memory
- SGD
- stochastic gradient descent
- Supervised Learning
- TensorFlow
- Tutorial
- Unsupervised Learning
In this episode, learn how to use a deep Q-network to solve the Cart and Pole environment.
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Deep Networks Are Kernel Machines
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Frank
- February 18, 2021
- AI
- artificial intelligence
- Arxiv
- data representations
- Deep Learning
- deep neural networks
- explained
- kernel machines
- kernel trick
- learning theory
- Linear Regression
- Machine Learning
- machine learning theory
- math proof
- nearest neighbor
- Neural Networks
- neural networks gradient descent
- Paper
- pedro domingos
- proof
- representation learning
- representations
- representer theorem
- SGD
- stochastic gradient descent
- Support Vector Machine
- SVM
- what is deep learning
Yannic Kilcher explains the paper “Every Model Learned by Gradient Descent Is Approximately a Kernel Machine.” Deep Neural Networks are often said to discover useful representations of the data. However, this paper challenges this prevailing view and suggest that rather than representing the data, deep neural networks store superpositions of the training data in their […]
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Data Processing for Neural Network Training with Keras with TensorFlow
-
Frank
- May 27, 2020
- activation function
- AI
- artificial intelligence
- artificial neural network
- backpropagation
- CNN
- convolution
- Convolutional Neural Network
- CUDA
- cuDNN
- Data
- Deep Learning
- Education
- Educational
- get started
- GPU
- image classification
- jupyter notebook
- Keras
- Machine Learning
- neural net
- Neural Network
- Python
- relu
- Sequential model
- SGD
- stochastic gradient descent
- Supervised Learning
- TensorFlow
- Tensorflow 2.0
- tf.keras
- Transfer Learning
- Tutorial
- Unsupervised Learning
deeplizard demonstrates how to process numerical data that we’ll later use to train our very first artificial neural network in this video.
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TensorFlow and Keras GPU Support – CUDA GPU Setup
-
Frank
- May 21, 2020
- activation function
- AI
- artificial intelligence
- artificial neural network
- backpropagation
- CNN
- convolution
- Convolutional Neural Network
- CUDA
- cuDNN
- Deep Learning
- Education
- Educational
- get started
- GPU
- image classification
- jupyter notebook
- Keras
- Machine Learning
- neural net
- Neural Network
- Nvidia
- Python
- relu
- Sequential model
- SGD
- stochastic gradient descent
- Supervised Learning
- TensorFlow
- Tensorflow 2.0
- tf.keras
- Transfer Learning
- Tutorial
- Unsupervised Learning
In this video, deeplizard discusses GPU support for TensorFlow and the integrated Keras API and how to get your code running with a GPU.
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Keras Installation and TensorFlow Integration
-
Frank
- May 14, 2020
- .NET
- activation function
- AI
- artificial intelligence
- artificial neural network
- backpropagation
- CNN
- convolution
- Convolutional Neural Network
- cuDNN
- Deep Learning
- Education
- Educational
- get started
- GPU
- image classification
- jupyter notebook
- Keras
- Machine Learning
- neural net
- Neural Network
- Python
- relu
- Sequential model
- SGD
- stochastic gradient descent
- Supervised Learning
- TensorFlow
- Tensorflow 2.0
- tf.keras
- Transfer Learning
- Tutorial
- Unsupervised Learning
In this episode, deeplizard discusses the Keras integration with TensorFlow (tf.keras), compatibility requirements, and how to get Keras installed on your machine!
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Keras Prerequisites – Getting Started with Neural Networks
-
Frank
- May 11, 2020
- .NET
- activation function
- AI
- artificial intelligence
- artificial neural network
- backpropagation
- CNN
- convolution
- Convolutional Neural Network
- cuDNN
- Deep Learning
- Education
- Educational
- get started
- GPU
- image classification
- jupyter notebook
- Keras
- Machine Learning
- neural net
- Neural Network
- Python
- relu
- Sequential model
- SGD
- stochastic gradient descent
- Supervised Learning
- TensorFlow
- Tensorflow 2.0
- tf.keras
- Transfer Learning
- Tutorial
- Unsupervised Learning
deeplizard has put together a course on how to use Keras. In this course, we will learn how to use Keras, a neural network API written in Python! In this episode, we discuss the prerequisites required to start working with Keras, why Keras is a good library to learn, and what resources you’ll have available […]
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