at Aug. 28, 2023 Computational Deep Learning

Learn about Complete Life Cycle of a Deep Learning Project. Implement different Neural networks using Tensorflow & Keras

Learn hands-on Deep Learning with Neural Networks, CNNs, RNNs, NLP & Model Deployment using TensorFlow, Keras & PyTorch.

This book of Advances in Deep Learning, Artificial Intelligence and Robotics (proceedings of ICDLAIR 2020) is intended to be used as a reference by students and researchers who collect scientific and technical contributions with respect to models, tools, technologies and applications in the field of modern artificial intelligence and robotics. Deep Learning, AI and robotics represent key ingredients for the 4th Industrial Revolution.

Master and Deploy Image Classification solutions with Tensorflow using models like Convnets and Vision Transformers

Master and Deploy Sentiment analysis and machine translation solutions with Tensorflow and Hugggingface Transformers

Covers Regression, Decision Trees, SVM, Neural Networks, CNN, Time Series Forecasting and more using both Python & R

Go from Beginner to Expert with building intuition on single neuron till deep neural networks in Keras & tensorflow