Neural Networks with Tensorflow and Keras: Training, Generative Models, and Reinforcement Learning

De (autor): Philip Hua

Neural Networks with Tensorflow and Keras: Training, Generative Models, and Reinforcement Learning

De (autor): Philip Hua

Philip Hua brings over 30 years of experience in investment, risk management, and IT. He has held senior positions as a partner at a hedge fund, led risk and IT departments at both large and boutique firms, and co-founded a successful fintech company. Alongside Dr. Paul Wilmott, he developed the CrashMetrics methodology, a crucial tool for evaluating severe market risk in portfolios. Philip holds a PhD in Applied Mathematics from Imperial College London, an MBA, and a BSc in Engineering.

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Neural Networks with Tensorflow and Keras: Training, Generative Models, and Reinforcement Learning

De (autor): Philip Hua

Neural Networks with Tensorflow and Keras: Training, Generative Models, and Reinforcement Learning

De (autor): Philip Hua

Descrierea produsului

S-ar putea sa-ti placa si

The Python Bible Volume 6: Neural Networks (Tensorflow, Deep Learning, Keras) - Florian Dedov

Time Series Forecasting Using Generative AI: Leveraging AI for Precision Forecasting - Banglore Vijay Kumar Vishwas

Deep Learning with TensorFlow and Keras - Third Edition: Build and deploy supervised, unsupervised, deep, and reinforcement learning models - Amita Kapoor

Reinforcement Learning for Finance: Solve Problems in Finance with CNN and Rnn Using the Tensorflow Library - Samit Ahlawat

Deep Learning Projects Using Tensorflow 2: Neural Network Development with Python and Keras - Vinita Silaparasetty

Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn and Tensorflow - Samuel Burns

Deep Generative Modeling - Jakub M. Tomczak

Inside Deep Learning: Math, Algorithms, Models - Edward Raff

The Reinforcement Learning Workshop: Learn how to apply cutting-edge reinforcement learning algorithms to a wide range of control problems - Alessandro Palmas

Advanced Deep Learning with TensorFlow 2 and Keras - Second Edition - Rowel Atienza

A Generative Journey to AI: Mastering the foundations and frontiers of generative deep learning (English Edition) - Toni Ramchandani

Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python - Sebastian Raschka

Machine Learning with TensorFlow - Nishant Shukla

Practical Deep Reinforcement Learning with Python: Concise Implementation of Algorithms, Simplified Maths, and Effective Use of TensorFlow and PyTorch - Ivan Gridin

Tidy Modeling with R: A Framework for Modeling in the Tidyverse - Max Kuhn

An Introduction to Statistical Learning: with Applications in R - Gareth James

TensorFlow: Powerful Predictive Analytics with TensorFlow - Md Rezaul Karim

Machine Learning Using TensorFlow Cookbook: Create powerful machine learning algorithms with TensorFlow - Alexia Audevart

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