12 Weeks, 24 Lessons, AI for All!
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AiLearning:数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
深度学习入门教程, 优秀文章, Deep Learning Tutorial
《李宏毅深度学习教程》(李宏毅老师推荐👍,苹果书🍎),PDF下载地址:https://github.com/datawhalechina/leedl-tutorial/releases
RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RNN and transformer - great performance, linear time, constant space (no kv-cache), fast training, infinite ctx_len, and free sentence embedding.
Recurrent neural network for audio noise reduction
Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier
Chatbot in 200 lines of code using TensorLayer
Predicting price trends in cryptomarkets using an lstm-RNN for the use of a trading bot
Using deep stacked residual bidirectional LSTM cells (RNN) with TensorFlow, we do Human Activity Recognition (HAR). Classifying the type of movement amongst 6 categories or 18 categories on 2 different datasets.
Hand-gesture recognition on iOS app using CoreML
Hierarchical Attentive Recurrent Tracking
A Tensorfflow implementation of Attend, Infer, Repeat