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Edge AI with TensorFlow Lite

14 Hours

Deep Learning for NLU: Beyond NLP Models

21 Hours

AI-Driven Drug Discovery and Development

21 Hours

Advanced Stable Diffusion: Deep Learning for Text-to-Image Generation

21 Hours

DeepSpeed for Deep Learning

21 Hours

Introduction to Large Language Models (LLMs)

14 Hours

Introduction to Stable Diffusion for Text-to-Image Generation

21 Hours

AlphaFold

7 Hours

Advanced Machine Learning with Python

21 Hours

Deep Reinforcement Learning with Python

21 Hours

Deep Learning for Telecom (with Python)

28 Hours

Artificial Intelligence (AI) in Automotive

14 Hours

Artificial Neural Networks, Machine Learning and Deep Thinking

21 Hours

Deep Learning for Vision with Caffe

21 Hours

Introduction to Deep Learning

21 Hours

DeepMind Lab

14 Hours

Advanced Deep Learning

28 Hours

Deep Learning AI Techniques for Executives, Developers and Managers

21 Hours

Deep Learning for Business

14 Hours

Deep Learning for Finance (with R)

28 Hours

Deep Learning for Banking (with Python)

28 Hours

Deep Learning for Banking (with R)

28 Hours

Deep Learning for Finance (with Python)

28 Hours

Deep Learning for Medicine

14 Hours

Deep Learning for Healthcare

14 Hours

Deep Learning for Vision

21 Hours

Introduction Deep Learning & Neural networks for engineers

21 Hours

Matlab for Deep Learning

14 Hours

Machine Learning and Deep Learning

21 Hours

Neural computing – Data science

14 Hours

Python and Deep Learning with OpenCV 4

14 Hours

OpenFace: Creating Facial Recognition Systems

14 Hours

OpenNMT: Setting Up a Neural Machine Translation System

7 Hours

PaddlePaddle

21 Hours

Advanced Machine Learning with R

21 Hours

Hardware-Accelerated Video Analytics

14 Hours

TensorFlow Lite for Embedded Linux

21 Hours

TensorFlow Lite for Android

21 Hours

TensorFlow Lite for iOS

21 Hours

Tensorflow Lite for Microcontrollers

21 Hours

Deep Learning Neural Networks with Chainer

14 Hours

Distributed Deep Learning with Horovod

7 Hours

Accelerating Deep Learning with FPGA and OpenVINO

35 Hours

Building Deep Learning Models with Apache MXNet

21 Hours

Deep Learning with Keras

21 Hours

Advanced Deep Learning with Keras and Python

14 Hours

Deep Learning for Self Driving Cars

21 Hours

Torch for Machine and Deep Learning

21 Hours

Mastering Apache SINGA

21 Hours

Mastering Deeplearning4j

21 Hours

NLP with Deeplearning4j

14 Hours

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