The Top 17 Affiliate Marketing Tools For 2022 and Beyond
Do you have the right affiliate marketing tools in your arsenal to be successful? Find out as we cover 17 conversion-focused tools for 2021 and beyond!
9 Best AI Content Generators for Every Kind of Content in 2022
Whether you’re writing a product description, personal bio, or long-form article, learn how to use an AI content generator to create content that converts.
Top 5 AI Copywriting Tools: Features, Pros, Cons & Pricing
How do AI copywriting tools work and are they worth it? Which are the best AI writing assistants in the market? Get answers to these and other questions here.
The Best AI Story Generators Compared [2022 Update]
AI story generators can help you create plots, develop characters, and complete stories in record time. Check out our list of the top 10 story writing tools.
8 Best AI Writers for Creating Content That Converts
Need help creating content for your website or business? It may be time to try an AI writer. Here are the top 8, their unique features, pros and cons.
How to Calculate Precision, Recall, F1, and More for Deep Learning Models
Tweet Tweet Share Share Last Updated on August 23, 2022 Once you fit a deep learning neural network model, you must evaluate its performance on a test dataset. This is critical, as the reported performance allows you to both choose between candidate models and to communicate to stakeholders about how good the model is at …
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Improving Voice Trigger Detection with Metric Learning
Voice trigger detection is an important task, which enables activating a voice assistant when a target user speaks a keyword phrase. A detector is typically trained on speech data independent of speaker information and used for the voice trigger detection task. However, such a speaker independent voice trigger detector typically suffers from performance degradation on …
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NeILF: Neural Incident Light Field for Material and Lighting Estimation
We present a differentiable rendering framework for material and lighting estimation from multi-view images and a reconstructed geometry. In the framework, we represent scene lightings as the Neural Incident Light Field (NeILF) and material properties as the surface BRDF modelled by multi-layer perceptrons. Compared with recent approaches that approximate scene lightings as the 2D environment …
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Integrating Categorical Features in End-To-End ASR
All-neural, end-to-end ASR systems gained rapid interest from the speech recognition community. Such systems convert speech input to text units using a single trainable neural network model. E2E models require large amounts of paired speech text data that is expensive to obtain. The amount of data available varies across different languages and dialects. It is …
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Combining Compressions for Multiplicative Size Scaling on Natural Language Tasks
Quantization, knowledge distillation, and magnitude pruning are among the most popular methods for neural network compression in NLP. Independently, these methods reduce model size and can accelerate inference, but their relative benefit and combinatorial inter- actions have not been rigorously studied. For each of the eight possible subsets of these techniques, we compare accuracy vs. …
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