Learn Deep Learning in 2023 with best Deep Learning courses, best Deep Learning tutorials & best Deep Learning books in 2023
Deep learning is all the rage these days. So I've compiled the best deep learning courses available online.
Deeplearning4j is not the first open-source deep-learning project, but it is distinguished from its predecessors in both programming language and intent. DL4J is a Java-based, industry-focused, commercially supported, distributed deep-learning framework intended to solve problems involving massive amou...
Formerly known as the Doublicat app, Reface is one of the best free deepfake apps. Powered by GANs framework design, the free deepfake app could map your face onto another image in an eerily realistic way, with convincing facial expressions and movements that look very much like you. The hom...
BF2SkNet: best deep learning features fusion-assisted framework for multiclass skin lesion classificationdoi:10.1007/s00521-022-08084-6The convolutional neural network showed considerable success in medical imaging with explainable AI for cancer detection and recognition. However, the irrelevant and large...
Deepfakes use deep learning artificial intelligence to digitally replace, alter, or imitate someone’s face or body in a video or their voice in an audio. In other words, deepfakes are fake videos or images. Now, with the AI technology, it’s simple to make deepfakes. Here is a list ...
Related paths/tracks:Ultimate Neural Network and Deep Learning Masterclass,Deep Learning and AI with Python Go to training Deep Learning Nanodegree Platform:Udacity Description:Become an expert in neural networks, and learn to implement them using the deep learning framework PyTorch. Build convolutional...
Upon completion, you will be able to build deep learning models, interpret results, and build your own deep learning project. Skills Covered Keras and TensorFlow Framework Image Classification Autoencoders Conventional Neural Networks ADAM Adagrad and Momentum PyTorch and its elements Artificial Neural ...
Deep learning frameworks can be trained to interpret structured data, but classic machine learning frameworks don't work with unstructured data. When choosing a machine learning framework, it's important to understand what type of data you have and what type of applications you want to bui...
Caffe-MPI is the first Caffe deep learning computing framework with parallel clusters. Based on Berkeley Caffe structure and developed by Inspur, it has openly released all the codes on Github. Its advanced MPI technology optimizes Caffe with data parallelism and...