Deep Learning

Databricks Deep Learning

End-to-End Deep Learning with Horovod on Apache Spark

Databricks explore the power of Horovod and what it means for data scientists and AI engineers. The newly introduced Horovod Spark Estimator API enables TensorFlow and PyTorch models to be trained directly on Spark DataFrames, leveraging Horovod’s ability to scale to hundreds of GPUs in parallel, without any specialized code for distributed training. With the […]

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Learn PyTorch: The best free online courses and tutorials
Deep Learning Python

Learn PyTorch: The Best Free Online Courses and Tutorials

Deep learning continues to be one of the hottest fields. While Google’s TensorFlow remains the most popular framework in absolute numbers, Facebook’s PyTorch has quickly earned a reputation for being easier to grasp and use. PyTorch has taken the world of deep learning research by storm, outstripping TensorFlow as the implementation framework of choice in […]

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Deep Learning TensorFlow

Keras with TensorFlow Course

freeCodeCamp.org posted this DeepLizard video. This course will teach you how to use Keras, a neural network API written in Python and integrated with TensorFlow. We will learn how to prepare and process data for artificial neural networks, build and train artificial neural networks from scratch, build and train convolutional neural networks (CNNs), implement fine-tuning […]

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Deep Learning Python

Batch Norm in PyTorch – Add Normalization to Conv Net Layers

deeplizard shows us how to add batch normalization to a convolutional neural network. Content index: 00:00 Welcome to DEEPLIZARD – Go to deeplizard.com for learning resources 00:30 What is Batch Norm? 04:04 Creating Two CNNs Using nn.Sequential 09:42 Preparing the Training Set 10:45 Injecting Networks Into Our Testing Framework 14:55 Running the Tests – BatchNorm […]

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A Peep into Deep Learning Architectures for Industrial Applications
Deep Learning TensorFlow

A Look into Deep Learning Architectures for Industrial Applications

Deep learning imitates the network of neurons in a human brain. It consists of algorithms, which allow machines to train to perform tasks that include computer vision, speech recognition, natural language processing, and more. Here’s an interesting look at what deep learning means for industry. Computer vision is the most popular deep learning application used […]

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Residual Networks (ResNet) – Deep Learning
Deep Learning

Residual Networks (ResNet) – Deep Learning

After the first CNN-based architecture (AlexNet) that win the ImageNet 2012 competition, every subsequent winning architecture uses more layers in a deep neural network to reduce the error rate. This works for less number of layers, but when we increase the number of layers, there is a common problem in deep learning associated with that […]

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Deep Learning Python

PyTorch Dataset Normalization

deeplizard teaches us how to normalize a dataset. We’ll see how dataset normalization is carried out in code, and we’ll see how normalization affects the neural network training process. Content index: 0:00 Video Intro 0:52 Feature Scaling 2:19 Normalization Example 5:26 What Is Standardization 8:13 Normalizing Color Channels 9:25 Code: Normalize a Dataset 19:40 Training […]

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Shortcuts to Simulation: How Deep Learning Accelerates Virtual Screening for Drug Discovery
AI Bioinformatics Deep Learning

Shortcuts to Simulation: How Deep Learning Accelerates Virtual Screening for Drug Discovery

Developing a new drug is an expensive and time consuming process. Here’s an interesting blog post about how deep learning can speed up the process and lower the costs. The cost of developing a new drug and bringing it to market is anywhere between $1.3 billion USD to nearly $2.9 billion USD depending on who […]

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