Actualités

GitHub2 a
PacktPublishing/Hands-On-Deep-Learning-Algorithms-with-Python
Implement basic-to-advanced deep learning algorithms; Master the mathematics behind deep learning algorithms; Become familiar with gradient descent and its variants, such as AMSGrad, AdaDelta, Adam, ...
IEEE4 a
Comparative Study for Deep Reinforcement Learning with CNN, RNN, and LSTM in Autonomous Navigation
Reinforcement learning algorithms are one of the popular machine learning methods in recent years. Unlike deep learning (DL) algorithms, it does not require a data set during the training phase, ...
marktechpost1 a
Deep Learning Architectures From CNN, RNN, GAN, and Transformers To Encoder-Decoder Architectures - MarkTechPost
This architecture is common in both RNN-based and transformer-based models. Attention mechanisms, especially in transformer models, have significantly enhanced the performance of encoder-decoder ...
IEEE4 a
Comparative Study for Deep Reinforcement Learning with CNN, RNN, and LSTM in Autonomous Navigation - IEEE Xplore
Reinforcement learning algorithms are one of the popular machine learning methods in recent years. Unlike deep learning (DL) algorithms, it does not require a data set during the training phase, ...
GitHub9 mois
Bidirectional RNN in Deep Learning with Python.md
Bidirectional RNN in Deep Learning with Python. ... Slide 2: Architecture of Bidirectional RNNs. BiRNNs consist of two separate RNNs: one processes the input sequence from left to right (forward), ...
VentureBeat3 a
DeepMind aims to marry deep learning and classic algorithms
Figuring out the ways in which algorithms and deep learning models are different is a good start if the goal is to reconcile them. Deep learning can’t generalize For starters, Blundell said ...