Insights
Find the latest news and insights from TrueShares below.
Deep Learning is a Michelin-Star Restaurant
In a professional kitchen, everything has its place. Everyone has their role to play. Entry-level prep cooks mise the ingredients, dicing onion after onion and peeling potatoes until they can no longer feel their fingers. Other cooks work different sections of the line, from salads and sauces to grilling meat and plating the final dish. As each dish is prepared, other chefs taste, season, and adjust along the way until the best possible dish makes it to the hungry diner. In many ways, a professional kitchen is a lot like deep learning.
Deep learning is a more advanced level of machine learning, which itself is an advanced level of artificial intelligence (AI). If AI is a home cook preparing dinner with the tools and cookbooks available to them, machine learning is a trained chef who uses their knowledge and skillset to improve upon old recipes and create new ones from scratch. The chef fine-tunes the basics. Deep learning, however, is far more advanced — it is a fully-staffed professional kitchen with each layer of the dish belonging to a different chef, with that dish getting constantly tasted and adjusted, with each chef contributing to a final dish that is more complex than what any one chef could create alone, with the kitchen taking in feedback from diners and refining … and refining and refining.
In literal terms, deep learning is a layered structure of an AI model, with each subsequent layer able to focus on different and more specific parameters.1 It is designed to mimic the neural networks in the human brain and can self-correct and improve over time, establishing the connections among and between the layers itself.1,2 Deep learning is more autonomous and accurate than machine learning and requires less human intervention.2
Deep learning models can be further refined when trained on vast quantities of unstructured and unlabeled data,2 like a kitchen full of chefs making food based on their learned skills, cultural influences, professional experiences, sensory cues, verbal feedback, and even the restaurant’s budget. Such fine-tuned deep learning foundation models are more nuanced and include LLMs like ChatGPT.
Before ChatPT evolved into a deep learning model, it had to be built on tons of data that humans heavily cleaned, labeled, reviewed, and classified. Deep learning itself has improved over time. From 2015 to 2021, the cost to train an image classification system fell 64% and the time it took to train deep learning models improved by 94%.2 But deep learning powers far more than just chatbots. It has already helped detect skin cancer, aided drug-discovery, improved the efficiency and sustainability of farming and modernized manufacturing.
TrueShares Technology, AI & Deep Learning ETF (LRNZ) is built to capture the diverse layers of AI, including tech companies employing and/or enabling advanced applications of deep learning in a variety of sectors. LRNZ generally holds 20-30 positions we think are poised to become category killers. It seeks the next up-and-comer in tech like a foodie seeks the next hot restaurant.
---
Sources:
Thought Leadership,
Straight to Your Inbox
Disclosures
©2025, TrueShares, ©2025 TrueMark Investments, LLC. (“TrueMark”).
Before investing, carefully consider the TrueShares ETFs investment objectives, risks, charges and expenses. Specific information about TrueShares is contained in the prospectus and a summary prospectus, copies of which may be obtained by visiting www.www.true-shares.com. Read the prospectus carefully before you invest.
An investment in TrueShares is subject to numerous risks, including possible loss of principal. The ETFs are subject to the following principal risks: Authorized Participants, Market Makers, and Liquidity Providers Concentration Risk associated with ETFs; Equity Market Risk; Management Risk; Market Capitalization Risk (Large Cap; Mid Cap, Small Cap Stock); Market Risk; New Fund Risk: The Fund is a recently organized, non-diversified management investment company with no operating history. As a result, prospective investors have no track record or history on which to base their investment decision. Additionally, the Adviser has not previously managed a registered fund, which may increase the risks of investing in the Fund.
Depositary Receipts Risk. American Depositary Receipts (“ADRs”) have risks similar to those of foreign securities (political and economic conditions, changes in the exchange rates, etc.) and entitle the holder to all dividends and capital gains that are paid out on the underlying foreign shares.
Individual investors should contact their financial advisor or broker dealer representative for more information on TrueShares ETFs.
Investment Products and Services are: NOT FDIC INSURED / MAY LOSE VALUE / NO BANK GUARANTEE.
All registered investment companies, including TrueShares, are obliged to distribute portfolio gains to shareholders at year-end regardless of performance. Trading in TrueShares ETFs will also generate tax consequences and transaction expenses. The information provided is not intended to be tax advice. Tax consequences of dividend distributions may vary by individual taxpayer.
TrueShares ETFs are bought and sold through exchange trading at market price, not Net Asset Value (NAV), and are not individually redeemed from the fund. Shares may trade at a premium or discount to their NAV in the secondary market. Brokerage commissions will reduce returns.
ETF shares may be bought or sold throughout the day at their market price, not their NAV, on the exchange on which they are listed. Shares of ETFs are tradable on secondary markets and may trade either at a premium or a discount to their NAV on the secondary market. ETFs trade like stocks, fluctuate in market value and may trade at prices above or below the ETF’s NAV. Brokerage commissions and ETF expenses will reduce returns.
Fund Intelligence Mutual Fund Industry and ETF Award shortlists and winners are comprised of individuals and firms who have submitted entries or been nominated via the online submission process, as well as through recommendations from leading market participants. Fund Intelligence Mutual Fund Industry and ETF Award judges will use the submitted application material, as well as any uploaded supplemental information, to determine which firm, individual or product they believe to be the most suitable and deserving winners for each category. Fund Intelligence Mutual Fund Industry and ETF Award judges have the discretionary power to move nominations into alternative categories that they think may be more suitable. Fund Intelligence Mutual Fund Industry and ETF Awards were decided by an independent panel of 20 judges with expertise across the asset management space.
TrueShares ETFs (the “Funds”) are registered with the United States Securities and Exchange Commission under the Investment Company Act of 1940. The fund is distributed by Paralel Distributors LLC, Member FINRA. Paralel is not affiliated with TrueMark Investments, LLC. TrueMark Investments, LLC, is the investment advisor to the Funds and receives a fee from the Funds for its services.
TrueMark Investments, LLC is the investment advisor to the Funds and receives a fee from the Funds for its services.
TrueShares ETFs are offered only to United States residents, and information on this site is intended only for such persons. Nothing on this website should be considered a solicitation to buy nor an offer to sell shares of any fund in any jurisdiction where the offer or solicitation would be unlawful under the securities laws of such jurisdiction.