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  1. en.wikipedia.org › wiki › Deep_ForestDeep Forest - Wikipedia

    Deep Forest is a French music project that originally began as a duo consisting of Michel Sanchez and Éric Mouquet. [2] . They compose a style of world music, sometimes called ethnic electronica, mixing ethnic with electronic sounds and dance beats or chillout beats. Their sound has been described as an "ethno-introspective ambient world music".

  2. Deep Forest Wrapped on Spotify 2023. 2023 was full of music, Deep Burning the new album is on the way to a best seller, more that 130K in only one month.

  3. Jun 25, 2016 · Continuous Play - Deep Forest - Full Original Album - 1992 is the first and eponymous studio album by the musical group. Playlist:1. Deep Forest2. Sweet ...

  4. Dec 1, 2015 · Deep Forest Sweet Lullaby Official VideoFollow Deep Forest : | Website : http://www.deep-forest.fr/| Facebook : https://www.facebook.com/deepforestofficial| ...

  5. French group originally consisting of Eric Mouquet and Michel Sanchez. They helped popularize the so-called "Global Pop", ambient music combined with ethnic sounds. Their song "Sweet Lullaby" became a major hit and in the US over 2 million Deep Forest albums were sold.

  6. Deep Forest is the first studio album by the musical group Deep Forest, consisting of French duo Éric Mouquet and Michel Sanchez. The album mixes New Age electronics with UNESCO field recordings of music from the Democratic Republic of the Congo, the Solomon Islands, Burundi, Tibesti, and the Sahel.

  7. Feb 5, 2018 · Deep Forest - World Mix. Electro & Space World. 19.2K subscribers. Subscribed. 25K. 2.4M views 6 years ago.

  8. May 18, 2024 · Deep Forest created a new kind of electronic world music, sometimes called ethnic electronica. Their sound has been described as “ethno-introspective ambient world music”. Grammy Award, Wold Award, Victoires de la musique.

  9. DF21 is an implementation of Deep Forest 2021.2.1. It is designed to have the following advantages: Powerful: Better accuracy than existing tree-based ensemble methods. Easy to Use: Less efforts on tunning parameters. Efficient: Fast training speed and high efficiency. Scalable: Capable of handling large-scale data.

  10. Feb 1, 2021 · DF21 is an implementation of Deep Forest 2021.2.1. It is designed to have the following advantages: Powerful: Better accuracy than existing tree-based ensemble methods. Easy to Use: Less efforts on tunning parameters. Efficient: Fast training speed and high efficiency. Scalable: Capable of handling large-scale data.