deeplearning共320篇
Preparing data for Sentiment analysis with TensorFlow-拾光赋

Preparing data for Sentiment analysis with TensorFlow

Preparing data for Sentiment analysis with TensorFlow, Sentiment in Text Tokenizer - to vectorise an sentence with words into numbers, it strips punctuation out and converts everyt...
kity的头像-拾光赋kity2年前
0267
Scalars, Vectors, Matrices and Tensors with Tensorflow 2.0-拾光赋

Scalars, Vectors, Matrices and Tensors with Tensorflow 2.0

Scalars, Vectors, Matrices and Tensors with Tensorflow 2.0, Linear Algebra With Tensorflow 2.0 (4 Part Series) 1 Scalars, Vectors, Matrices and Tensors with Tensorflow 2.0 2 Eigend...
kity的头像-拾光赋kity6年前
0497
Awesome Explanation on how Transformers Work-拾光赋

Awesome Explanation on how Transformers Work

Awesome Explanation on how Transformers Work, How do Transformers Work? An Introduction | Towards Data Science James Briggs ・ Dec 6, 2020 ・ 8 min read towardsdatascience.com 原文...
kity的头像-拾光赋kity4年前
0428
Assorted Neural Style Transfer: An extension of Vanilla NST-拾光赋

Assorted Neural Style Transfer: An extension of Vanilla NST

Assorted Neural Style Transfer: An extension of Vanilla NST,Neural Style Transfer explores methods for artistic style transfer based on Convolutional Neural Networks. The core idea...
kity的头像-拾光赋kity3年前
04211
How-to Structure a Q&A ML App-拾光赋

How-to Structure a Q&A ML App

How-to Structure a Q&A ML App, I'm planning on doing something different, a series of videos where we work through the steps - from start-to-finish - of (attempting) to build a Q&a...
kity的头像-拾光赋kity4年前
0275
Here is why Pytorch is more Pythonic than Tensorflow.-拾光赋

Here is why Pytorch is more Pythonic than Tensorflow.

Here is why Pytorch is more Pythonic than Tensorflow.,One of the best ways to understand Deep Learning is by learning concepts rather than frameworks, so occasionally I take a piec...
kity的头像-拾光赋kity4年前
05011
A review of popular Machine Learning libraries and frameworks-拾光赋

A review of popular Machine Learning libraries and frameworks

A review of popular Machine Learning libraries and frameworks, Overview of Machine Learning Machine learning is a rapidly growing field that has a wide range of applications in var...
kity的头像-拾光赋kity2年前
03315
Install TensorFlow on Mac M1/M2 with GPU support-拾光赋

Install TensorFlow on Mac M1/M2 with GPU support

Install TensorFlow on Mac M1/M2 with GPU support,Install TensorFlow on Mac M1/M2 with GPU support and benefit from the native performance of the new Mac ARM64 architecture. What ma...
kity的头像-拾光赋kity2年前
0319
Geometric Deep Learning: An In-Depth Exploration of Principles, Applications, and Future Directions-拾光赋

Geometric Deep Learning: An In-Depth Exploration of Principles, Applications, and Future Directions

Geometric Deep Learning: An In-Depth Exploration of Principles, Applications, and Future Directions,Introduction to Geometric Deep Learning Geometric Deep Learning (GDL) is a burge...
kity的头像-拾光赋kity6个月前
04515
Image Classification with Convolutional Neural Networks (CNNs)-拾光赋

Image Classification with Convolutional Neural Networks (CNNs)

Image Classification with Convolutional Neural Networks (CNNs),A common task to use neural networks and deep learning is computer vision. We will use an MNIST dataset to classify h...
kity的头像-拾光赋kity14天前
0337
Toward understanding DNN (deep neural network) well: California housing dataset-拾光赋

Toward understanding DNN (deep neural network) well: California housing dataset

Toward understanding DNN (deep neural network) well: California housing dataset, Toward understanding DNN (deep neural network) well (2 Part Series) 1 Toward understanding DNN (dee...
kity的头像-拾光赋kity3年前
0387
Juguemos piedra, papel y tijera con redes neuronales-拾光赋

Juguemos piedra, papel y tijera con redes neuronales

Juguemos piedra, papel y tijera con redes neuronales,¿Alguna vez has escuchado el término de machine learning o aprendizaje automático? ¿Es algo que está de moda? ¿Realmente ...
kity的头像-拾光赋kity5年前
0358