Deep Learning with Python Finally Arrives!

Deep Learning with Python Finally Arrives!

Editorial Department WeChat Official Account Keywords Search Across the Internet Latest Ranking 『Quantitative Investment』: Ranked First 『Quantitative』: Ranked First 『Machine Learning』: Ranked Third We will continue to work hard to becomethe top qualitytechnology public account on the internet I have been waiting since the beginning of the year Finally, this book has arrived Let me … Read more

Pre-training BERT: How TensorFlow Solved It Before Official Release

Pre-training BERT: How TensorFlow Solved It Before Official Release

Edited by Machine Heart Contributors: Siyuan, Wang Shuting This month, Google’s BERT has received a lot of attention, as the research has refreshed the state-of-the-art performance records in 11 NLP tasks with its pre-trained model. The authors of the paper stated that they would release the code and pre-trained model by the end of this … Read more

When Bert Meets Keras: The Simplest Way to Use Bert

When Bert Meets Keras: The Simplest Way to Use Bert

Author: Su Jianlin Research Direction: NLP, Neural Networks Personal Homepage: kexue.fm Bert is something that probably doesn’t need much introduction. Although I’m not a big fan of Bert, I must say it has indeed caused quite a stir in the NLP community. Nowadays, whether in Chinese or English, there is a plethora of popular science … Read more

Keras on PyTorch: A Comprehensive Framework

Keras on PyTorch: A Comprehensive Framework

Machine Heart Report Contributors: Siyuan, Yiming Keras and PyTorch are both among the most beginner-friendly deep learning frameworks. They operate like a simple language for describing architectures, telling the framework what layer should use what. Many researchers and developers are pondering which framework is better, but currently, both frameworks are very popular, each with its … Read more

Learn Convolutional Neural Networks From Scratch: Understand CNN Core and Practice

Learn Convolutional Neural Networks From Scratch: Understand CNN Core and Practice

Introduction Have you ever felt overwhelmed by the complexity of deep learning? Have you heard of the powerful tool known as Convolutional Neural Networks (CNN) but found it confusing? Don’t worry! This article will guide you step by step through the core concepts of CNN and teach you how to easily build and train a … Read more

Keras Implementation of RNN-LSTM for Bitcoin and Ethereum Price Prediction

Keras Implementation of RNN-LSTM for Bitcoin and Ethereum Price Prediction

[Introduction]This article is a great technical blog written by Siavash Fahimi, mainly explaining how to implement Keras to realize RNN-LSTM for predicting the prices of Bitcoin and Ethereum. In the past year, besides AI, the hottest term in the internet industry has been blockchain. Although this article does not cover the technical explanation of blockchain, … Read more

Using ChatGPT to Write a Neural Network: Surprisingly Effective

Using ChatGPT to Write a Neural Network: Surprisingly Effective

Machine Heart Report Editor: Egg Sauce AI writing AI came faster than expected. Since its launch at the end of last year, the conversational AI model ChatGPT has become popular throughout the community. ChatGPT is indeed an amazing tool, like a “Pandora’s box.” Once you find the right way to open it, you may find … Read more

Lecture 47: Attention Mechanism and Machine Translation in Deep Learning

Lecture 47: Attention Mechanism and Machine Translation in Deep Learning

In the previous lecture, we discussed the seq2seq model. Although the seq2seq model is powerful, its effectiveness can be significantly reduced if used in isolation. This section introduces the attention model, which simulates the human attention intuition within the encoder-decoder framework. Principle of Attention Mechanism The attention mechanism in the human brain is essentially a … Read more

Build Your First Image Classification Model in Just 10 Minutes!

Build Your First Image Classification Model in Just 10 Minutes!

Author: Pulkit Sharma; Translator: Wang Weili; Proofreader: Ding Nanya This article is about 3400 words, recommended reading time is 10 minutes. This article introduces the process of building a deep learning model for image recognition, providing a basic framework for beginners to solve image recognition problems by stating the actual competition problem, introducing the model … Read more

Exploring LSTM Networks in Stock Markets

Exploring LSTM Networks in Stock Markets

Editorial Department WeChat Official Account Keywords All Network Search Latest Ranking “Quantitative Investment”: Rank One “Quantization”: Rank One “Machine Learning”: Rank Four We will continue to strive To become a high-qualityFinancial and Technical public account Introduction to LSTM Networks LSTM Networks are a type of Recurrent Neural Network (RNN) first introduced by Sepp Hochreiter and … Read more