- Advanced-Deep-Learning-with-Keras VS AdaVAE
- Advanced-Deep-Learning-with-Keras VS PyTorch-VAE
- Advanced-Deep-Learning-with-Keras VS ALAE
- Advanced-Deep-Learning-with-Keras VS Speech_driven_gesture_generation_with_autoencoder
- Advanced-Deep-Learning-with-Keras VS dnn_from_scratch
- Advanced-Deep-Learning-with-Keras VS Keras-GAN
Advanced-Deep-Learning-with-Keras Alternatives
Similar projects and alternatives to Advanced-Deep-Learning-with-Keras based on common topics and language
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AdaVAE
[Preprint] AdaVAE: Exploring Adaptive GPT-2s in VAEs for Language Modeling PyTorch Implementation
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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Speech_driven_gesture_generation_with_autoencoder
This is the official implementation for IVA '19 paper "Analyzing Input and Output Representations for Speech-Driven Gesture Generation".
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dnn_from_scratch
A high level deep learning library for Convolutional Neural Networks,GANs and more, made from scratch(numpy/cupy implementation).
Advanced-Deep-Learning-with-Keras reviews and mentions
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Cannot understand how REINFORCE model is trained
I have understood the concept of REINFORCE algorithm and what policy gradient is. However, when I see the code published by PacktPublishing, I was stuck with it.
Stats
PacktPublishing/Advanced-Deep-Learning-with-Keras is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of Advanced-Deep-Learning-with-Keras is Python.