DeepLizard

Deep Learning TensorFlow

Keras with TensorFlow Course

freeCodeCamp.org posted this DeepLizard video. This course will teach you how to use Keras, a neural network API written in Python and integrated with TensorFlow. We will learn how to prepare and process data for artificial neural networks, build and train artificial neural networks from scratch, build and train convolutional neural networks (CNNs), implement fine-tuning […]

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AI Neural Networks

CNN Training Loop Refactoring

In this video, deeplizard will see how we can experiment with large numbers of hyperparameter values easily while still keeping the training loop and results organized.

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AI Deep Learning

Training Loop Run Builder

In this latest deeplizard video , they code a training loop run builder class that will allows for multiple runs with varying parameters. This aids with experimentation of the neural network training process. Remember, it’s called data science and experimentation is part and parcel of the process.

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AI Reinforcement Learning

Deep Q-Network Image Processing and Environment Management

This video picks up on the continuing project that DeepLizard has been working on to build a deep Q-network to master the cart and pole problem. Learn how to manage the environment and process images that will be passed to the deep Q-network as input.

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AI Python TensorFlow

Stack vs Concat in PyTorch. TensorFlow, and NumPy

deeplizard examines the difference between concatenating and stacking tensors together. We’ll look at three examples, one with PyTorch, one with TensorFlow, and one with NumPy.

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Reinforcement Learning

Build Deep Q-Network

In this video, Deep Lizard builds out a Deep Q Network to tackle the cart-pole problem.

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Deep Learning TensorFlow

Visualize Deep Learning Metrics with TensorBoard & PyTorch

In this video, deeplizard explores how to use TensorBoard to visualize metrics of our PyTorch CNN during training process.

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Neural Networks Python

CNN Confusion Matrix with PyTorch

In this video from deeplizard, learn how to build, plot, and interpret a confusion matrix using PyTorch. They also cover about locally disabling PyTorch gradient tracking or computational graph generation.

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AI Neural Networks Python

CNN Training Loop Explained

In this episode from deeplizard, learn how to build the training loop for a convolutional neural network using Python and PyTorch.

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Reinforcement Learning

Deep Q-Network Code Project Intro

Watch this video on Deep Q-learning to implement your own deep Q-network in code.

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